Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16728
Title: Performance Metrics for Image Segmentation Techniques: A Review
Authors: Babakano, Faiza Jada
Aibinu, Musa Abiodun
Onumanyi, Adeiza James
Keywords: Image Segmentation
Performance Metrics
Issue Date: 2015
Publisher: Proceedings of the International Engineering Conference (IEC) School of Engineering and Engineering Technology, Federal University of Technology, Minna
Citation: Babakano,F. J., Aibinu, A. M, Onumanyi, A. (2015). Performance Metrics for Image Segmentation Techniques: A review. Proceedings of the International Engineering Conference (IEC) School of Engineering and Engineering Technology, Federal University of Technology, Minna.2015. Pp 344-348.
Abstract: Image Segmentation has become a lot popular in recent years because of its application in computer vision and related field. This has led to an upsurge in different segmentation techniques from the research community. Different image segmentation techniques have their strengths and weaknesses and some are more geared to some specific application. The need to evaluate the performance of these techniques became necessary because of the autonomous system that do quite a lot of these segmentation. This paper reviews different types of metrics used for evaluating the performance of different image segmentation techniques. It was found out that some metrics are used by some specific image segmentation techniques and their strength and weaknesses are outlined.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16728
Appears in Collections:Information and Media Technology

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