期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：10
页码：5209
出版社：S&S Publications
摘要：In this paper we have used different Filters and Methods for the filtration of the Image and to analyse thatwhat exact difference it makes when it comes to detect the edge of the Image. The image processing part consists ofimage acquisition of noisy image. This part consists of several image-processing techniques. First, we introduce noisein the image at different density levels, then Bacteria Foraging Optimization Algorithm is used to calculate theThreshold value which is to be applied on each filter to remove noise from the image. Here we use Adaptive MedianFilter, Haar Denoising Method and Hybrid Filter to remove noise. These Filters are then applied with BFO Algorithmand they are compared with one another which help us to calculate the parameters of noisy images. The parameters ofworking would be Noise level at different densities, Noise suppression rate, Mean Square Error and PSNR. HereNeural Network Approach is used which consists of feed forward and feed backward layers and at hidden to outputlayer, BFO Neural Network is used for classification of Image and finally edges are detected.
关键词：Adaptive Median Filter; BFO; Haar Denoising Method.
