%0 Journal Article
	%A Abhishek Neogi and  Jayesh Verma and  Pinaki Pratim Acharjya
	%D 2014
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 95, 2014
	%T Segmentation of Noisy Digital Images with Stochastic Gradient Kernel
	%U https://publications.waset.org/pdf/10001671
	%V 95
	%X Image segmentation and edge detection is a fundamental section in image processing. In case of noisy images Edge Detection is very less effective if we use conventional Spatial Filters like Sobel, Prewitt, LOG, Laplacian etc. To overcome this problem we have proposed the use of Stochastic Gradient Mask instead of Spatial Filters for generating gradient images. The present study has shown that the resultant images obtained by applying Stochastic Gradient Masks appear to be much clearer and sharper as per Edge detection is considered.
	%P 2095 - 2102