Study of Edge Detection and its components

Authors

  • Avzekar

Keywords:

Edge detection,, Canny Edge detection, Sobal operator

Abstract

Edges are boundaries between different textures. Edge also can be defined as discontinuities in image intensity from one pixel to another. The edges for an image are always the important characteristics that offer an indication for a higher frequency. Detection of edges for an image may help for image segmentation, data compression, and also help for well matching, such as image reconstruction and so on. There are many methods to make edge detection. The most common method for edge detection is to calculate the differentiation of an image. Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision.Common edge detection algorithms include Sobel, Canny, Prewitt, Roberts, and fuzzy logic methods

References

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Elham Ashari , Richard Hornsey, “ FPGA Implementation of Real-Time Adaptive Image Thresholding” ,online access

http://en.wikipedia.org/wiki/Digital_image_processing

J. Canny, “A Computational Approach to Edge Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-8, 6, November 1986, 679–698.

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Published

2017-03-30

How to Cite

Avzekar, M. M. K. (2017). Study of Edge Detection and its components. Innovative Research Thoughts, 3(1), 1–6. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/29