Edge detection in 24-bit bmp using C - c

how are you? I have a question about an algorithm that I've been learning. It is the relatively simple algorithm, which helps to detect the edges of the image.
In summary, the algorithm works like this: it takes a 24-bit .bmp image of arbitrary dimensions and applies the Sobel operator to detect the edges in the image.
I almost managed to get satisfactory results with the code below.
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <stdint.h>
#include <math.h>
[![#pragma pack(push, 1)
typedef struct
{
char bitmapSignatureBytes\[2\];
uint32_t sizeOfBitmapImageBytes;
uint16_t reserved1;
uint16_t reserved2;
uint32_t pixelOffset;][1]][1]
}bmpFileHeader;
#pragma pack(pop)
#pragma pack(push, 1)
typedef struct
{
uint32_t dib_header_size; // DIB Header size in bytes (40 bytes)
int32_t width; // Width of the image
int32_t height; // Height of image
uint16_t num_planes; // Number of color planes
uint16_t bits_per_pixel; // Bits per pixel
uint32_t compression; // Compression type
uint32_t image_size_bytes; // Image size in bytes
int32_t x_resolution_ppm; // Pixels per meter
int32_t y_resolution_ppm; // Pixels per meter
uint32_t num_colors; // Number of colors
uint32_t important_colors; // Important colors
}bmpInfoHeader;
#pragma pack(pop)
#pragma pack(push,1)
typedef struct
{
uint8_t blue;
uint8_t green;
uint8_t red;
}pixel;
#pragma pack(pop)
int randNum(void);
int main(void){
bmpFileHeader myBmpFileHeader;
bmpInfoHeader myBmpInfoHeader;
FILE *bmpImage = fopen("work.bmp", "rb");
FILE *newBmpImage = fopen("border_work.bmp", "wb");
if (bmpImage == NULL)
{
printf("Error occured when opening file\n");
}
fread(&myBmpFileHeader, sizeof(myBmpFileHeader), 1, bmpImage);
fread(&myBmpInfoHeader, sizeof(myBmpInfoHeader), 1, bmpImage);
if (myBmpFileHeader.bitmapSignatureBytes[0]==0x42 && myBmpFileHeader.bitmapSignatureBytes[1]==0x4D && myBmpInfoHeader.dib_header_size == 40 && myBmpInfoHeader.bits_per_pixel == 24 && myBmpInfoHeader.compression ==0 )
{
printf(" File is probably BMP\n");
}else{
printf("Error\n");
}
int width = myBmpInfoHeader.width;
//printf("Width %i\n", width );
int height = abs(myBmpInfoHeader.height);
//printf("Height: %i\n", height );
pixel(*image)[width] = calloc(height, width * sizeof(pixel));
pixel(*image_blur)[width] = calloc(height, width * sizeof(pixel));
int padding = (4 - (width * sizeof(pixel)) % 4) % 4;
for (int i = 0; i < height; ++i)
{
fread(image[i], sizeof(pixel), width, bmpImage);
fseek(bmpImage, padding, SEEK_CUR);
}
int gx[3][3];
int gy[3][3];
gx[0][0] = -1;
gx[0][1] = 0;
gx[0][2] = 1;
gx[1][0] = -2;
gx[1][1] = 0;
gx[1][2] = 2;
gx[2][0] = -1;
gx[2][1] = 0;
gx[2][2] = 1;
gy[0][0] = -1;
gy[0][1] = -2;
gy[0][2] = -1;
gy[1][0] = 0;
gy[1][1] = 0;
gy[1][2] = 0;
gy[2][0] = 1;
gy[2][1] = 2;
gy[2][2] = 1;
int gxValBlue;
int gyValBlue;
int gxValGreen;
int gyValGreen;
int gxValRed;
int gyValRed;
int squaredBlue;
int squaredGreen;
int squaredRed;
for (int lin = 0; lin < height; ++lin)
{
for (int col = 0; col < width; ++col)
{
if (lin !=0 && lin != height && col != 0 && col != width)// tem todos os vizinhos
{
gxValBlue = (image[lin-1][col-1].blue * gx[0][0] + image[lin-1][col].blue * gx[0][1] + image[lin-1][col+1].blue * gx[0][2] + image[lin][col-1].blue * gx[1][0] + image[lin][col].blue * gx[1][1] + image[lin][col+1].blue * gx[1][2] + image[lin-1][col-1].blue * gx[2][0] + image[lin+1][col].blue * gx[2][1] + image[lin+1][col+1].blue * gx[2][2]);
gyValBlue = (image[lin-1][col-1].blue * gy[0][0] + image[lin-1][col].blue * gy[0][1] + image[lin-1][col+1].blue * gy[0][2] + image[lin][col-1].blue * gy[1][0] + image[lin][col].blue * gy[1][1] + image[lin][col+1].blue * gy[1][2] + image[lin-1][col-1].blue * gy[2][0] + image[lin+1][col].blue * gy[2][1] + image[lin+1][col+1].blue * gy[2][2]);
squaredBlue = (int)sqrt(gxValBlue*gxValBlue + gyValBlue*gyValBlue);
gxValGreen = (image[lin-1][col-1].green * gx[0][0] + image[lin-1][col].green * gx[0][1] + image[lin-1][col+1].green * gx[0][2] + image[lin][col-1].green * gx[1][0] + image[lin][col].green * gx[1][1] + image[lin][col+1].green * gx[1][2] + image[lin-1][col-1].green * gx[2][0] + image[lin+1][col].green * gx[2][1] + image[lin+1][col+1].green * gx[2][2]);
gyValGreen = (image[lin-1][col-1].green * gy[0][0] + image[lin-1][col].green * gy[0][1] + image[lin-1][col+1].green * gy[0][2] + image[lin][col-1].green * gy[1][0] + image[lin][col].green * gy[1][1] + image[lin][col+1].green * gy[1][2] + image[lin-1][col-1].green * gy[2][0] + image[lin+1][col].green * gy[2][1] + image[lin+1][col+1].green * gy[2][2]);
squaredGreen = (int)sqrt(gxValGreen*gxValGreen + gyValGreen*gyValGreen);
gxValRed = (image[lin-1][col-1].red * gx[0][0] + image[lin-1][col].red * gx[0][1] + image[lin-1][col+1].red * gx[0][2] + image[lin][col-1].red * gx[1][0] + image[lin][col].red * gx[1][1] + image[lin][col+1].red * gx[1][2] + image[lin-1][col-1].red * gx[2][0] + image[lin+1][col].red * gx[2][1] + image[lin+1][col+1].red * gx[2][2]);
gyValRed = (image[lin-1][col-1].red * gy[0][0] + image[lin-1][col].red * gy[0][1] + image[lin-1][col+1].red * gy[0][2] + image[lin][col-1].red * gy[1][0] + image[lin][col].red * gy[1][1] + image[lin][col+1].red * gy[1][2] + image[lin-1][col-1].red * gy[2][0] + image[lin+1][col].red * gy[2][1] + image[lin+1][col+1].red * gy[2][2]);
squaredRed = (int)sqrt(gxValRed*gxValRed + gyValRed*gyValRed);
if (squaredBlue > 255)
{
image_blur[lin][col].blue = 255;
}else{
image_blur[lin][col].blue = squaredBlue;
}
if (squaredGreen > 255)
{
image_blur[lin][col].green = 255;
}else{
image_blur[lin][col].green = squaredGreen;
}
if (squaredRed > 255)
{
image_blur[lin][col].red = 255;
}else{
image_blur[lin][col].red = squaredRed;
}
}else { // bottom
image_blur[lin][col].blue = 0;
image_blur[lin][col].green = 0;
image_blur[lin][col].red = 0;
}
}
}
fwrite(&myBmpFileHeader, sizeof(myBmpFileHeader),1, newBmpImage);
fwrite(&myBmpInfoHeader, sizeof(myBmpInfoHeader), 1, newBmpImage);
for (int i = 0; i < width; ++i)
{
for (int k = 0; k < padding; ++k)
{
fputc(0x00, newBmpImage);
}
fwrite(image_blur[i], sizeof(pixel), width, newBmpImage);
}
fclose(newBmpImage);
fclose(bmpImage);
free(image);
free(image_blur);
return 0;
}
I am also sending an example of the original image and modified image.
As you can see, the modified image is cropped.
The two images have the same dimensions, but the modified image appears cropped.
My assumptions that it may be happening:
misuse of calloc () that is not providing enough memory to store the modified image
problem with padding
I have had this problem for a long time and I would like to ask the community for help to resolve this issue and raise my level of proficiency in C.

The reason for the cropped output is what user3386109 said: when writing the output BMP, the outer loop
for (int i = 0; i < width; ++i)
should iterate up to height, not width. BMPs are stored starting from the bottom row, this is why a portion of the top of the image went missing.
A minor comment about the filtering: there is a check that appears to intend to exclude a one-pixel margin for boundary handling,
if (lin !=0 && lin != height && col != 0 && col != width)
Beware there is an off-by-one error on the right and bottom edges. Since lin iterates for lin < height, the bottom row is lin == height - 1, not height. Similarly col == width - 1 is the rightmost column.

Related

Edge Detection in C

Working on an edge detection function. Looking back at my code I think that I have concept / logic down. But the results aren't coming out the way it should.
typedef struct {
int Red;
int Green;
int Blue;
} GTOTALS;
// Detect edges
void edges(int height, int width, RGBTRIPLE image[height][width])
{
const int MAX = 3;
// Copy Image
RGBTRIPLE Copy[height][width];
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
Copy[i][j] = image[i][j];
}
}
// Gx and Gy Grids 3 x 3
int Gx[MAX][MAX] = {
{-1, 0, 1},
{-2, 0, 2},
{-1, 0, 1}
};
int Gy[MAX][MAX] = {
{-1, -2, -1},
{0, 0, 0},
{1, 2, 1}
};
// Loop through each pixel
for (int Rows = 0; Rows < height; Rows++)
{
for (int Cols = 0; Cols < width; Cols++)
{
// Hold RGB Values + Refresh Current Pixel RGB
int CRed = 0, CGreen = 0, CBlue = 0;
// Store Gx and Gy RGB Values
GTOTALS X;
GTOTALS Y;
// Loop through surrouding pixels
for (int S_Rows = Rows - 1, R = 0; S_Rows <= Rows + 1; S_Rows++, R++)
{
for (int S_Cols = Cols - 1, C = 0; S_Cols <= Cols + 1; S_Cols++, C++)
{
// Check Pixel Validity
if ((S_Rows >= 0) && (S_Rows < height) && (S_Cols >= 0) && (S_Cols < width))
{
// RGB Gx Total Values
X.Red += Copy[S_Rows][S_Cols].rgbtRed * Gx[R][C]; // Current Pixel Red * Gx[N][N]
X.Green += Copy[S_Rows][S_Cols].rgbtGreen * Gx[R][C]; // Current Pixel Green * Gx[N][N]
X.Blue += Copy[S_Rows][S_Cols].rgbtBlue * Gx[R][C]; // Current Pixel Blue * Gx[N][N]
// RGB Gy Total Values
Y.Red += Copy[S_Rows][S_Cols].rgbtRed * Gy[R][C]; // Current Pixel Red * Gy[N][N]
Y.Green += Copy[S_Rows][S_Cols].rgbtGreen * Gy[R][C]; // Current Pixel Green * Gy[N][N]
Y.Blue += Copy[S_Rows][S_Cols].rgbtBlue * Gy[R][C]; // Current Pixel Blue * Gy[N][N]
}
}
}
// Value = Square Root(Gx^2 + Gx^2)
CRed = round( sqrt( pow(X.Red, 2.0) + pow(Y.Red, 2.0) ) );
CGreen = round( sqrt( pow(X.Green, 2.0) + pow(Y.Green, 2.0) ) );
CBlue = round( sqrt( pow(X.Blue, 2.0) + pow(Y.Blue, 2.0) ) );
// MAX 255
Cap(&CRed);
Cap(&CGreen);
Cap(&CBlue);
// Update Target Pixel
image[Rows][Cols].rgbtRed = CRed;
image[Rows][Cols].rgbtGreen = CGreen;
image[Rows][Cols].rgbtBlue = CBlue;
}
}
return;
}
void Cap(int *Value)
{
if (*Value > 255)
{
*Value = 255;
}
}
When I run the prograM most of the RGB values turn out to be 255. I've played around with using different data types and moving around when variables are created but that doesn't seem to help. I've also tried miniature versions of the code and all seems to work as intended but not sure why when I add it together it doesn't seem to give the correct results
Here is description of Sobel filter
// from Source to Destination
int ComputeBoundaries(unsigned char S[], unsigned char D[])
{
unsigned int iX,iY; /* indices of 2D virtual array (image) = integer coordinate /
unsigned int i; / index of 1D array /
/ sobel filter */
unsigned char G, Gh, Gv;
// boundaries are in D array ( global var )
// clear D array
memset(D, iColorOfBasin1, iSize*sizeof(*D)); // for heap-allocated arrays, where N is the number of elements = FillArrayWithColor(D , iColorOfBasin1);
// printf(" find boundaries in S array using Sobel filter\n");
#pragma omp parallel for schedule(dynamic) private(i,iY,iX,Gv,Gh,G) shared(iyMax,ixMax)
for(iY=1;iY<iyMax-1;++iY){
for(iX=1;iX<ixMax-1;++iX){
Gv= S[Give_i(iX-1,iY+1)] + 2S[Give_i(iX,iY+1)] + S[Give_i(iX-1,iY+1)] - S[Give_i(iX-1,iY-1)] - 2S[Give_i(iX-1,iY)] - S[Give_i(iX+1,iY-1)];
Gh= S[Give_i(iX+1,iY+1)] + 2S[Give_i(iX+1,iY)] + S[Give_i(iX-1,iY-1)] - S[Give_i(iX+1,iY-1)] - 2S[Give_i(iX-1,iY)] - S[Give_i(iX-1,iY-1)];
G = sqrt(GhGh + GvGv);
i= Give_i(iX,iY); /* compute index of 1D array from indices of 2D array /
if (G==0) {D[i]=255;} / background /
else {D[i]=0;} / boundary */
}
}
return 0;
}
// copy from Source to Destination
int CopyBoundaries(unsigned char S[], unsigned char D[])
{
unsigned int iX,iY; /* indices of 2D virtual array (image) = integer coordinate /
unsigned int i; / index of 1D array */
//printf("copy boundaries from S array to D array \n");
for(iY=1;iY<iyMax-1;++iY)
for(iX=1;iX<ixMax-1;++iX)
{i= Give_i(iX,iY); if (S[i]==0) D[i]=0;}
return 0;
}
Here is the image and a full program
result:

I am trying to Read, write and translate of the bmp image file using c/c++, the output bmp file format not supported on window (using visual studio)

Code starts form here
//creat the stucture for the bitmap file, which consist the header of size 54, which contains the information about the file.
struct BMP {
int width;
int height;
unsigned char header[54];
unsigned char *pixels;
int size;
};
Read and write function for the bmp file in c/c++.
Here I used the fopen() function
// read the image
BMP readBMP(string filename) {
BMP image;
int i;
string fileName = filename;
FILE *f = fopen(fileName.c_str(), "rb");
fread(image.header, sizeof(unsigned char), 54, f); // read the 54-byte header
// extract image height and width from header
image.width = *(int *) &image.header[18];
image.height = *(int *) &image.header[22];
cout<<"inage width: "<< image.width <<", image height: "<< image.height <<endl;
image.size = 3 * image.width * image.height;
image.pixels = new unsigned char[image.size]; // allocate 3 bytes per pixel
fread(image.pixels, sizeof(unsigned char), image.size, f); // read the rest of the data at once
fclose(f);
// bmp stors data in BGR format, so changing the BGR to RGB.
for (i = 0; i < image.size; i += 3) {
unsigned char tmp = image.pixels[i];
image.pixels[i] = image.pixels[i + 2];
image.pixels[i + 2] = tmp;
}
return image;
}
// write image
void writeBMP(string filename, BMP image) {
string fileName = filename;
FILE *out = fopen(fileName.c_str(), "wb");
fwrite(image.header, sizeof(unsigned char), 54, out);
int i;
unsigned char tmp;
for (i = 0; i < image.size; i += 3) {
tmp = image.pixels[i];
image.pixels[i] = image.pixels[i + 2];
image.pixels[i + 2] = tmp;
}
fwrite(image.pixels, sizeof(unsigned char), image.size, out); // read the rest of the data at once
fclose(out);
}
Image translating function, to translate image corresponding x and y dimension.
// image translation
BMP translation(BMP image, int tx, int ty) {
BMP newImage = image;
unsigned char *pixel = new unsigned char[image.size];
// translation
for (int x = 0; x < image.width; ++x){
for (int y = 0; y < image.height; ++y) {
int xx = x-tx;
int yy = y+ty;
if (xx >= 0 && xx < image.width && yy >= 0 && yy < image.height){
pixel[(y * image.width + x) * 3 + 0] = image.pixels[(yy * image.width + xx) * 3 + 0];
pixel[(y * image.width + x) * 3 + 1] = image.pixels[(yy * image.width + xx) * 3 + 1];
pixel[(y * image.width + x) * 3 + 2] = image.pixels[(yy * image.width + xx) * 3 + 2];
}
}
}
newImage.pixels = pixel;
return newImage;
}
main function call to perform the read, write and translate operation, is below.
int main() {
BMP image = readBMP("sample_640×426.bmp");
BMP image_t;
// // original image
writeBMP("Output-11.bmp", image);
// image translation
int x0=100, y0=50;
image_t = translation(image, x0, y0);
writeBMP("Out_translate.bmp", image_t);
return 0;
}
windows output image is here[1]
[1]: https://i.stack.imgur.com/gd83D.png

OpenCL Kernel implementing im2col with batch

I am trying to adapt a secuential function writen for CPU to an OpenCL kernel for GPU.
The function is the well known im2col used in many deep learning applications.
I have found some code on the OpenCV repository implementing this im2col function written in OpenCL but the one that I have to adapt uses a batch that confuses me and seems to be a bit different.
What should I change on the OpenCL kernel to make it work the same on GPU as it does on the CPU function?
CPU code
int fn_im2col_cpu(int I, int WI, int HI, int B, int KW, int KH, int WO, int HO, int PW, int PH, int SW, int SH, type *in_ptr, type *out_ptr) {
PROFILING_HEADER_EXTERN(im2col);
PROFILING_DEVICE(im2col, DEV_CPU);
int i; // scrolls input channels
int w; // scrolls channel columns (width)
int h; // scrolls channel rows (height)
int kw; // scrolls filter columns (width)
int kh; // scrolls filter rows (height)
// we sweep all output pixels, and for each pixel we compute the associated input pixel
#pragma omp parallel for private (kh, kw, h, w)
for (i = 0; i < I; i++) {
size_t out_addr = ((size_t)B * (size_t)WO * (size_t)HO * (size_t)KW * (size_t)KH * (size_t)i);
size_t in_addr1 = (size_t)i * (size_t)B * (size_t)WI * (size_t)HI;
for (kh = 0; kh < KH; kh++) {
for (kw = 0; kw < KW; kw++) {
for (h = 0; h < HO; h++) {
int hi = h * SH - PH + kh;
size_t in_addr2 = in_addr1 + ((size_t)hi * (size_t)B * (size_t)WI);
for (w = 0; w < WO; w++) {
int wi = w * SW - PW + kw;
int force_padding = (wi < 0) || (wi >= WI) || (hi < 0) || (hi >= HI);
if (force_padding) {
bzero(&out_ptr[out_addr], B*sizeof(type));
} else {
int in_addr = in_addr2 + (wi * B);
memcpy(&out_ptr[out_addr], &in_ptr[in_addr], B*sizeof(type));
}
out_addr+=B;
}
}
}
}
}
return 1;
}
OpenCL kernel from https://github.com/opencv/opencv/blob/master/modules/dnn/src/opencl/im2col.cl
__kernel void im2col(__global const float *im_src, int im_src_offset,
int channels, int height_inp, int width_inp,
int kernel_h, int kernel_w, int pad_h, int pad_w,
int stride_h, int stride_w,
int height_out, int width_out,
__global float *im_col, int im_col_offset
)
{
int index = get_global_id(0);
if (index >= height_out * width_out * channels)
return;
int j_out = index % width_out;
int i_out = (index / width_out) % height_out;
int c_inp = (index / width_out) / height_out;
int c_out = c_inp * kernel_h * kernel_w;
int i_inp = i_out * stride_h - pad_h;
int j_inp = j_out * stride_w - pad_w;
im_src += (c_inp * height_inp + i_inp) * width_inp + j_inp + im_src_offset;
im_col += (c_out * height_out + i_out) * width_out + j_out + im_col_offset;
for (int ki = 0; ki < kernel_h; ++ki)
for (int kj = 0; kj < kernel_w; ++kj) {
int i = i_inp + ki;
int j = j_inp + kj;
*im_col = (i >= 0 && j >= 0 && i < height_inp && j < width_inp) ?
im_src[ki * width_inp + kj] : 0;
im_col += height_out * width_out;
}
}
Your C version folds the batch into the lowest dimension. The opencl version isn't even using batch.
You need to pass in the batch size "B", and change this copy to a block copy (or just do a loop over) by the batch size:
for (int b=0; b<B; b++) *(im_col*B+b) = (i >= 0 && j >= 0 && i < height_inp && j < width_inp) ? im_src[(ki * width_inp + kj)*B + b] : 0;
to emulate the memcpy(..., B*sizeof(type)).
And then just stride B times more:
im_col += height_out * width_out * B;

Generating a barcode BMP in c

I've been assigned to create a barcode image from a number generated randomly by me (that I've already done). So far I tried to create a BMP file and put in a simple black and white columns but my picture is distorted by other colors and not even in columns. I didn't even start to write the barcode itself (that itself is still a mystery to me), I tried to create it for almost 2 weeks now and to no avail.. I mostly need a program that writes black or white to the program by columns or row by row so i can put black or white at will.
This is my code:
`int width, hight;
width = 141;
hight = 70;
FILE* barcode;
fopen_s(&barcode,NEWBARCODE, "wb");
int filesize = 54 + 3 * width*height; //w is your image width, h is image height, both int
char bmpfileheader[14] = { 'B','M', 0,0,0,0, 0,0, 0,0, 54,0,0,0 };
char bmpinfoheader[40] = { 0x28,0,0,0, 141,0,0,0, 70,0,0,0, 1,0, 24,0,0,0,0,0,0x8c,0x05,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
unsigned char white[3] = {255,255,255 };
unsigned char black[3] = {0,0,0 };
unsigned char pad[1] = { 0 };
bmpfileheader[2] = (unsigned char)(filesize);
bmpfileheader[3] = (unsigned char)(filesize >> 8);
bmpfileheader[4] = (unsigned char)(filesize >> 16);
bmpfileheader[5] = (unsigned char)(filesize >> 24);
fwrite(&bmpfileheader, 1, 14, barcode);
fwrite(&bmpinfoheader, 1, 40, barcode);
for (int i = 0; i < height; i++) { //columns
for (int j = 0; j < width*3+1; j++) {
if (i % 2 == 0) {
fwrite(&white, 1, 3, barcode);
fwrite(&black, 1, 3, barcode);
}
else {
fwrite(&black, 1, 3, barcode);
fwrite(&white, 1, 3, barcode);
}
}
fwrite(&pad, 1, 1, barcode);
}
and that outputs the bmp file
What is wrong? And if there are any tips to work on creating a bmp file would be greatly appreciated :)
Try the below. Note that I've moved the BMP to a bit depth of 32. The wrapper function setColumn will allow you to set individual columns to black or white as you see fit. Much more manageable to think of the BMP as an array that you can freely manipulate instead of having to deal with a ton of fwrite logic.
#include "stdafx.h"
#include <fstream>
#define NEWBARCODE "test.bmp"
#define WHITE 255
#define BLACK 0
void setColumn(unsigned char *data, const int height, const int width, const int colIndex, const int grayVal)
{
for (int r = 0; r < height; ++r)
{
data[r * width * 4 + colIndex * 4 + 0] = grayVal;
data[r * width * 4 + colIndex * 4 + 1] = grayVal;
data[r * width * 4 + colIndex * 4 + 2] = grayVal;
data[r * width * 4 + colIndex * 4 + 3] = 255;
}
}
int main()
{
int width, height;
width = 141;
height = 70;
std::ofstream filestream;
filestream.open(NEWBARCODE, std::ios::beg | std::ios::out | std::ios::binary);
int filesize = 54 + 4 * width * height;
char bmpfileheader[14] = { 'B','M', 0,0,0,0, 0,0, 0,0, 54,0,0,0 };
char bmpinfoheader[40] = { 0x28,0,0,0, 141,0,0,0, 70,0,0,0, 1,0, 32,0,0,0,0,0,0x8c,0x05,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 };
bmpfileheader[2] = (unsigned char)(filesize);
bmpfileheader[3] = (unsigned char)(filesize >> 8);
bmpfileheader[4] = (unsigned char)(filesize >> 16);
bmpfileheader[5] = (unsigned char)(filesize >> 24);
filestream.write(bmpfileheader, 14);
filestream.write(bmpinfoheader, 40);
//Allocate BMP data block
unsigned char *data = new unsigned char[width * height * 4]{ 0 };
//Initialize BMP data to all black pixels
for (int i = 0; i < width * height * 4; ++i)
data[i] = 0;
//Set white
for (int i = 75; i < 100; ++i)
setColumn(data, height, width, i, WHITE);
//Set white
for (int i = 15; i < 25; ++i)
setColumn(data, height, width, i, WHITE);
//Set black
for (int i = 20; i < 23; ++i)
setColumn(data, height, width, i, BLACK);
filestream.write((const char *)data, height * width * 4);
filestream.close();
delete data;
return 0;
}

Negative transformation of an image in C

#include < stdio.h >
#include < conio.h >
#include < stdlib.h >
#include < process.h >
#include < string.h >
#include < math.h >
int count = 0;
typedef struct bitmap24 {
unsigned char header[54];
unsigned char * pixels;
}BMP;
void readBMP(char * filename) {
int i;
FILE * f = fopen(filename, "rb");
FILE * f1 = fopen("save.bmp", "wb");
FILE * pixelVals = fopen("vals.dat", "w");
unsigned char bmppad[3] = {
0,
0,
0
};
if (!f) {
printf("Could not read file!\n");
exit(0);
}
unsigned char info[54];
fread(info, sizeof(unsigned char), 54, f);
int width = * (int * ) & info[18];
int height = * (int * ) & info[22];
unsigned char * img = NULL;
if (img)
free(img);
img = (unsigned char * ) malloc(3 * width * height);
memset(img, 0, sizeof(img));
fwrite(info, sizeof(unsigned char), 54, f1);
int length = width * height;
unsigned long int image[10000][3];
for (i = 0; i < length; i++) {
image[i][2] = getc(f); // blue
image[i][1] = getc(f); // green
image[i][0] = getc(f); // red
img[count] = 255 - (unsigned char) image[i][0];
//img[count] = 10*(unsigned char)log10((double)image[i][0]+1);
count += 1;
img[count] = 255 - (unsigned char) image[i][2];
//img[count] = 10*(unsigned char)log10((double)image[i][3]+1);
count += 1;
img[count] = 255 - (unsigned char) image[i][2];
//img[count] = 10*(unsigned char)log10((double)image[i][2]+1);
count += 1;
printf("pixel %d : [%d,%d,%d]\n", i + 1, image[i][0], image[i][4], image[i][2]);
fprintf(pixelVals, "pixel %d : [%d,%d,%d]\n", i + 1, image[i][0], image[i][5], image[i][2]);
}
for (i = height - 1; i >= 0; i--) {
fwrite(img + (width * (height - i - 1) * 3), 3, width, f1);
fwrite(bmppad, 1, (4 - (width * 3) % 4) % 4, f1);
}
fclose(f);
fclose(f1);
fclose(pixelVals);
}
void main() {
char * fileName = "bitgray.bmp";
readBMP(fileName);
getch();
}
I am not getting the correct result when the image is saved. I am using 24bit bmp image of dimensions 114 X 81. The image was coming out to be inverted initially but that issue was solved. But I am still getting a slanted image. I know the problem is in the last 'for' loop.
How should I solve it ?
Bitmap scanlines are padded to 4-byte boundary. So you need to add an extra two bytes so that the row is divisible by 4. At the moment, you have 114 * 3 = 342 bytes of pixel data per line. The next number divisible by 4 is 344.
So, at the end of reading each line, just read an extra two bytes and discard them.
In general, you can work out the extra bytes like this:
extra = (alignment - ((width * bytesPerPixel) % alignment)) % alignment;
Where in this case alignment is 4.
From memory, there is a field in the header that should contain the value of the full scanwidth (width * bytesPerPixel + extra), but it's a good idea not to expect it to be correct because you can calculate it easily.
You must also be aware of this padding rule when you save a bitmap.
Your second for loop looks strange. I believe it should be:
for(i = 0; i < height; i++) {...}
or:
for(i = height-1; i >= 0; i--) {...}

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