Browsing by Author "Bhavyashree, B T"

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    Dynamic Resolving of Image Edge Detection Techniques
    (2016-07-22T08:58:40Z) Amrita S, Menon; Ashwini, A; Bhavyashree, B T; C Neshwa, Salih
    Image processing is the analysis and manipulation of a digitized image, especially in order to improve its quality. Edge detection is an image processing technique for finding the boundaries and edges of objects within images. The main purpose of edge detection is to simplify the image data in order to minimize the amount of data to be processed. Edge detection can be used to enhance the image by filtering the noise in X-ray images, satellite images etc. Canny, LoG, and Sobel are the three most widely used techniques for edge detection. These techniques are not suitable for all images because all these techniques have its advantages and disadvantages and varying levels of noise. An adaptive edge-detection algorithm is necessary to provide a robust solution that is adaptable to the varying noise levels. We propose an adaptive edge-detection algorithm that chooses among the Canny algorithm, Sobel algorithm, and the LoG algorithm at dynamic time based on the PSNR value, the one with more PSNR value is selected and given as output. Thus, we provide a robust solution that is adaptable to the varying noise levels. The output is an image with the edges detected from the input image. Eclipse, a java based open source platform is used to develop the system. The system is implemented using native Java API’s which is a programming framework that enables to run java code. Eclipse uses WindowBuilder as a plug-in to build the interface.