New automatic multi-level thresholding technique for segmentation of thermal images

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/29202

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29202

Title:	New automatic multi-level thresholding technique for segmentation of thermal images
Authors:	Chang,JS;Liao,HYM;Hor,MK;Hsieh,JW;Chern,MY
Contributors:	資訊工程研究所
Keywords:	WAVELET TRANSFORM;SELECTION;DIFFUSION
Date:	1997
Issue Date:	2010-06-29 20:16:15 (UTC+8)
Publisher:	中央大學
Abstract:	A new wavelet-based automatic multi-level thresholding technique is proposed. The new technique is a generalized version of the method proposed by Olive [1]. Olive [1] proposed using a set of dilated wavelets to convolve with the histogram of an image. For each scale, a set of thresholds was determined automatically based on the rules he proposed. However, Olive did not provide a systematic way to decide on an exact set of thresholds which corresponds to a specific scale that can lead to the best segmentation result. In this paper, we propose using a cost function as a guide to solve the above problem. Experimental results show that our approach can always automatically select the best scale for performance of multi-level thresholding.
Relation:	IMAGE AND VISION COMPUTING
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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