alexa Algorithms for Edge Detection and Enhancement for Real
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

Algorithms for Edge Detection and Enhancement for Real Time Images: A Comparative Study

Ashita Vermani1, Akshyata Ojha2
  1. Assistant Professor, Dept. of Electronics & Telecommunication., College of Engineering Roorkee, Roorkee, India
  2. Student, Dept. of Electronics & Telecommunication., College of Engineering Roorkee, Roorkee, India
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Abstract

Thermal images are used for detection and identification of edges in any object due to varying atmospheric conditions. In this paper, five algorithms, viz, Robert, Sobal, Prewitt, laplacian and Canny edge detection algorithm are discussed and their performances are compared for optimal edge detection. Edge detection play a linchpin role in image analysis and able to solve complex problems, it is an important step to identify object segmentation and help in feature extraction. It basically works on grey level of pixels, it is used to track targets, compress data, recognition of object etc. as it significantly reduces amount of data and filters out useless information while preserving important structural properties. Performance of algorithms is decided in considering accuracy and speed.

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