Design of Improved Distributed Canny Edge Detection Algorithm (IDCEDA) and its VLSI Implementations

Authors(3) :-Ch. Janardhan, Dr. K. V. Ramanaiah, Dr. K. Babulu

Recently Automatic Image Segmentation and edge detection techniques have become more popular and commonly used in many applications like Road Sign Detection in ADAS systems, Medical Image Diagnosis Machine vision systems etc. Generally, information about the object is available at the edges or boundaries and high frequency noise or an artifact exists in the boundaries due to improper image acquisition process. Hence, it is very difficult to interpret or process such type of images. In this paper we proposed improved distributed canny edge detection algorithm (IDCEDA) to segment or detection of the object boundaries into more accurate and it is synthesized ISE environment the final layout is developed through TSMC 0.18um technology. The proposed design gives more accurate results with minimum no. of hardware resources compared to existing approaches in terms of accuracy and less hardware resources required for implantation. The proposed algorithm performs superior than the existing approaches in terms of Hardware Resources Utilized and sharp edge boundaries of images. Finally, the algorithm is implemented on vertex family of FPGA devices for effective estimation of Real time performance of the proposed algorithm.

Authors and Affiliations

Ch. Janardhan
Department of Electronics & Communication, JNT University Kakinada, Kakinada, Andhrapradesh, India
Dr. K. V. Ramanaiah
Department of Electronics & Communication, Yogivemana University, Proddatur, Andhrapradesh, India
Dr. K. Babulu
Department of Electronics & Communication, JNT University Kakinada, Kakinada, Andhrapradesh, India

Edge Detection, Image Segmentation, De-noise, FPGA, VLSI Architecture

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 77-84
Manuscript Number : CSEIT183115
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ch. Janardhan, Dr. K. V. Ramanaiah, Dr. K. Babulu, "Design of Improved Distributed Canny Edge Detection Algorithm (IDCEDA) and its VLSI Implementations ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.77-84, January-February.2018

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