4393/6380 COSC Digital Image Processing Department of Computer Science University of Houston Assignment #1 Due: 10/14/08
1. Write a program to binarize a gray-level image based on the assumption that the image has a bimodal histogram. You are to implement a method that assumes that both the foreground and background regions of the image represent a Gaussian distribution and the optimal threshold to binarize the image is the average of the means of the two Gaussians. Your code should report both the binarized image and the optimal threshold value. Assume that foreground takes a value of 1 and the background a value of 0 in the binary image. Also assume that foreground objects are darker than background objects in the input gray-level image. 2. Write to program to perform morphological smoothing of the resultant binarized image. Include both Open-Close and Close-Open smoothing operations using a windowing function that is a 3 x 3 window and a 5 x 5 window. The input to your code would be a binary image and the output would be a smoothed version that eliminates small regions and fills holes of larger regions. 3. Write a program to perform blobcoloring based on both a 4-connected and a 8connected neighborhood x (3 3 window). The input to your code should be a binary image from the previous step and the output should be a count of total objects in the image as well as the labeled image where each object is color coded starting with the value of 1 and the background taking a value of 0. Assume that objects in the binary image take a value of 1 while the background takes a value of 0. In addition, your code should also report the area and centroid of each object in the binary image. 4. Write a main program to read in the supplied gray-level image (cells.png) and threshold the image to generate a binary image using the function developed in part 1. Next, use morphological operations to eliminate small regions and fill holes in...