Segmentation of Noisy Digital Images with Stochastic Gradient Kernel

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.

Authors:

• Abhishek Neogi
• Jayesh Verma
• Pinaki Pratim Acharjya

Keywords:

• Image segmentation
• edge Detection
• noisy images
• spatialfilters
• stochastic gradient kernel.

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