Extract Threshold using Histogram

In many vision application, it is useful to be able to separate out the regions of the image corresponding to objects in which we are interested, from the regions of the image that correspond to background [FIS 2000]. One of many ways used to separate the object from the background is edge detection methods. Thresholding often provides as easy way (technique) to perform the operation of edge detection. Because of its wide applicability to other areas of the digital image processing, quite a number of thresholding methods have been proposed over the years. in this project a new algorithm is introduced in attempt to obtain the threshold value from the pixels intensity (histogram) of the gradient images. Two edge detectors are used to obtain the gradient images, one of them is traditional method (Sobel edge detector) and another has some complexity in its algorithm (Canny edge detector) in order to determine the efficiency of the adaptive algorithm.