Performance measurement without ground truth to achieve optimal edge

Crysdian, Cahyo (2018) Performance measurement without ground truth to achieve optimal edge. International Journal of Image and Data Fusion, 9 (2). pp. 170-193. ISSN 19479832

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Abstract

This paper presents an effort to develop performance measurement of edge detector without ground truth. The motivation is to drive edge detector to catch up with human vision that is capable of always generating closed-loop edge. Two axioms of edge are presented, i.e. the presentation of edge as a closed-loop line and its characteristic as being thin. A set of features and approaches are generated in this research in order to enable the measurement of edge map. Experiment shows that current edge detector is still difficult to catch up with human vision for recognising edge. Experiment also proves that statistical approach based on object size delivers the best performance measurement among other approaches. And, the use of region of interest is proved useful to optimise edge measurement.

Item Type:	Journal Article
Keywords:	edge detector; edge map; human vision multi-criteria decision-making; Performance measurement; statistical approach
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Heni Kurnia Ningsih
Date Deposited:	24 May 2018 14:54

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