Objective Evaluation of Image Segmentation Algorithms Using Neural Network
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE20_448
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
Image segmentation is an important research area in computer vision and many image segmentation methods have been proposed, therefore it is necessary to be able to evaluate theperformance of image segmentation algorithms objectively. In this paper we present a new metric to evaluate the accuracy ofimage segmentation algorithms, based on the most important feature of each segments using neural networks. The neural network after training can assess the similarity or dissimilarity of each pairs of segments, based on the most important feature of two segments that can be distinguished from each other andfinally the segmentation algorithms accuracy have been computed by novel presented metric. Our proposed method donot require a manually-segmented reference image for comparison, therefore can be used for real-time evaluation and is sensitive to over-segmentation. Experimental results were obtained for a selection of images from Berkeley segmentation data set and demonstrated that it’s a proper measure for comparing image segmentation algorithms
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Authors
Elham Askari
Qazvin Branch, Islamic Azad University
Amir Masoud Eftekhari Moghadam
Qazvin Branch, Islamic Azad University