An Analytical Evolution of Usability for Object Oriented Metrics

Abstract

Object oriented design metrics are most essential part of software development environment and being more popular day by day. This study focus on a set of object oriented metrics that can be used to measure the quality of an object oriented design. The object oriented design metrics focus on the measurements of class and design characteristics. These measurements permit designers to access the software in the early stage of the process and changes accordingly to reduce complexity and improve the continuing capability of the design. This paper summarizes the existing metrics those guide the designers to support their design. We categorized and discussed metrics in such a way that novice designers can apply metrics in their design as needed.

An Automated System for Atlas Based Multiple Organ Segmentation of Abdominal CT Images

“…Oussema Zayane et al worked on automatic liver segmentation using basic operations of image processing like thresholding, edge detection, median filtering, and basic morphological operations with good results [1]. Ritu punia et al [5] reviewed techniques of automatic liver segmentation based on neural network based [6,11], Support vector machine based [12,15], Clustering based [16,20], Hybrid techniques [21,24]. Qing Luo et al used graph cuts method for segmentation of abdomen MR images especially for liver and kidneys.…”