期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2010
卷号：1
期号：5
页码：342-346
出版社：TechScience Publications
摘要：Histogram is a graphical representation showing a visual impression of the distribution of experimental data. It is an estimate of the probability distribution of a continuous variable and was first introduced by Karl Pearson. A histogram consists of tabular frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to the frequency of the observations in the interval. In this paper the comparative analysis of various Image Edge Detection techniques for Power Amplifier is presented with histogramic implementation. The software is developed using MATLAB 7.5. Evaluation of the images showed that under noisy conditions Canny, LoG( Laplacian of Gaussian), Robert, Prewitt, Sobel exhibit better performance, respectively[1]. Histograms are used to get better results which helps to plot the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the object edge detection is one of the ways of solving the problem of high volume of space images occupy in the computer memory. The problems of storage, transmission over the Internet and bandwidth could be solved when edges are detected.
关键词：Histogram; Histogram equalization; Edge detection;techniques; Power Amplifier.
