International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,March 2017,

Topic : Development Of Edge Detection Algorithms For Video Frames Using Rgb-Yuv Colour Modelsin Matlab

Authors:K.Sai Prasad Reddy || Prof. K.Nagabhushan Raju

Abstract:An edge is a place of rapid change in the image intensity function. Edges are caused by a variety of factors. Image edge detection is an integral component of image processing to enhance the clarity of edges and the type of edges. Edge detection is the process of localizing pixel intensity transitions. The edge detection has been used by object recognition, target tracking, segmentation etc., Therefore, the edge detection is one of the most important parts of image processing. The purpose of edge detection is to discover the information about the shapes and the reflectance or transmittance in an image. It is one of the fundamental steps in image processing, image analysis, image pattern recognition, and computer vision, as well as in human vision. Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodology. This paper presents a comparative study on different approaches to edge detection of video frames. These approaches are based on transforming the RGB frame to YUV model. Video frame edges are detected by using edge detector operator called Laplacian operator. This paper provides a deeper analysis regarding video frame edge detection by constructing video input object, selecting source for video acquisition, previewing a stream of image frames, capturing sequence of video frames from live video stream, matrices, partial derivatives and convolutions by using MatLab. .

Keywords: Colour Models, Edge detection, Laplacian Operator, Sobel Operator.

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DOI: 01.1617/vol4/iss3/pid90164

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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