Improved Sobel Algorithm Based Image Edge Detection using Gaussian Filter
Keywords:
Robert, Sobel, Prewit, Edge Detection, Gaussian Filter.Abstract
Edge detection from images is one of the most important concerns in digital image and video processing. With development in technology, edge detection has been greatly benefited and new avenues for research opened up, one such field being the real time video and image processing whose applications have allowed other digital image and video processing. It consists of the implementation of various image processing algorithms like edge detection using Sobel, Prewitt, Canny and Robert etc. A different technique is reported to increase the performance of the edge detection. The algorithmic computations in real-time may have high level of time based complexity and hence the use of MATLAB and Image processing system for the implementation of such algorithms is proposed here. Processor is a dedicated high speed image processing module for use in a wide range of image analysis systems. It is observed that techniques which follow the stage process of detection of noise and filtering of noisy pixels achieve better performance than others. In this thesis such schemes of Sobel, Prewitt, Canny and Robert detector are proposed.
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