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I don't have a program to recommend but we've been using this code in school to detect objects. Lemme know if you were able to use it.

/* Creating a binary image using an intensity threshold */

define IMAGE_RANGE_CHECK

include "stdio.h"

include "image.h"

include "jpegio.h"

include "binary.h"

int main () { RGBImage inputImage, outputImage; Image<unsigned char=""> binary;

int intensityThreshold = 180;

readJpeg( inputImage, (char *) "SOURCEIMAGE.jpg" ); int height = inputImage.height(); int width = inputImage.width(); int x,y, gray;

// create a binary image using thresholding binary.resize( width, height ); binary.setAll( 0 ); // set all to background

// create an RGB visualization of the binary image outputImage.resize( width, height ); outputImage.setAll( COLOR_RGB(255,255,255) ); // set all to white

for (x = 0; x < width; x++) { for (y = 0; y < height; y++) { gray = (RED(inputImage(x,y)) + GREEN(inputImage(x,y)) + BLUE(inputImage(x,y))) / 3; if (gray < intensityThreshold) { // if the pixel is dark binary(x,y) = 1; // this pixel is part of the object outputImage(x,y) = COLOR_RGB(0,0,0); // in the visualization, it will be colored black } } }

// write the output to a JPEG file system("mkdir images/output"); writeJpeg( outputImage, (char *) "OUTPUTIMAGE.jpg", 100 ); }

I don't have a program to recommend but we've been using this code in school to detect objects. Lemme know if you were able to use it.

/* Creating a binary image using an intensity threshold */https://dl.dropbox.com/u/21471288/binary1.cpp

define IMAGE_RANGE_CHECK

include "stdio.h"

include "image.h"

include "jpegio.h"

include "binary.h"

int main () { RGBImage inputImage, outputImage; Image<unsigned char=""> binary;

int intensityThreshold = 180;

readJpeg( inputImage, (char *) "SOURCEIMAGE.jpg" ); int height = inputImage.height(); int width = inputImage.width(); int x,y, gray;

// create a binary image using thresholding binary.resize( width, height ); binary.setAll( 0 ); // set all to background

// create an RGB visualization of the binary image outputImage.resize( width, height ); outputImage.setAll( COLOR_RGB(255,255,255) ); // set all to white

for (x = 0; x < width; x++) { for (y = 0; y < height; y++) { gray = (RED(inputImage(x,y)) + GREEN(inputImage(x,y)) + BLUE(inputImage(x,y))) / 3; if (gray < intensityThreshold) { // if the pixel is dark binary(x,y) = 1; // this pixel is part of the object outputImage(x,y) = COLOR_RGB(0,0,0); // in the visualization, it will be colored black } } }

// write the output to a JPEG file system("mkdir images/output"); writeJpeg( outputImage, (char *) "OUTPUTIMAGE.jpg", 100 ); }