Image Segmentation

Diagnosis of Breast Cancer by Optical Image Analysis

“…The simplest measure of perimeter is obtained by counting the number of boundary pixels that belong to the object. This can be obtained by counting the number of pixels that take a value of 1 and that have at least one neighbouring pixel with a value of 0 [17]. In this sense, we can define the object perimeter as [16] …”

“…When normalized by the size of the image, the histogram yields the (discrete) Probability Density Function (PDF) of the gray levels. Thus, measures derived from the normalized histogram of an image of an object provide statistical descriptors characterizing the gray-level distribution of the object [17]. We consider the discrete (PDF) [17] …”

“…a cell) in an image which has been labeled by q through the process of segmentation. We compute this function using [17] I q (i, j) = 1 if I(i, j) = n th object number 0 otherwise…”

“…a decision) using a knowledge database which generates a result (a decision) by subscribing different objects. The 'expert data' in the application field creates a knowledge database by using supervised training with a number of model objects [17].…”

Fingerprint Image Enhancement By Develop Mehtre Technique

“…Suppose our image has L different grey levels 0, 1, 2, 3,…, L-1, and that grey level i occurs n i times in the image. Suppose also that the total number of pixels in the image is n .To transform the grey levels to obtain a better contrasted image, we change grey level as shown in equation (1) and this number is rounded to the nearest integer [14,15].…”