A Framework for Optimum Contour Detection

Crysdian, Cahyo and Nugroho, Bayu Adhi (2016) A Framework for Optimum Contour Detection. Presented at Joint International Conference of The 3rd International Conference on Nano Electronics Research and Education (ICNERE) and The 8th International Conference on Electrical, Electronics, Communications, Controls, and Informatics System (EECCIS) 2016, October 31 – November 2, 2016, Malang - Indonesia. (In Press)

Cahyo - ICNERE-EECCIS 2016.pdf - Accepted Version

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The importance of contour detection have been acknowledged by researchers worldwide, and indeed dozens of methods have been introduced. However there is no single method suit with various conditions of digital images. Most of the time, a tedious work to select best method from dozens is required only to derive the most appropriate objects contour from a digital image. Once an object contour is recognized, further image analysis process can be computed efficiently. This condition is in contrast with human visual perception which employs contour detection as a preliminary process with minimal energy consumption before conducting exhaustive visual analysis. Therefore this research aims to develop a framework to automatically detecting optimum object contour by selecting the best method for each condition of input image. Efficient energy consumption will be achieved by applying mechanism based on multi criteria decision making.

Item Type: Conference (Paper)
Keywords: Contour detection, Edge detection, Image analysis, Multi criteria decision making
Subjects: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Dr. Cahyo Crysdian
Date Deposited: 06 Dec 2016 08:18


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