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

NCU Institutional Repository > 資訊電機學院 > 資訊工程研究所 > 期刊論文 > Item 987654321/29202

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题名:	New automatic multi-level thresholding technique for segmentation of thermal images
作者:	Chang,JS;Liao,HYM;Hor,MK;Hsieh,JW;Chern,MY
贡献者:	資訊工程研究所
关键词:	WAVELET TRANSFORM;SELECTION;DIFFUSION
日期:	1997
上传时间:	2010-06-29 20:16:15 (UTC+8)
出版者:	中央大學
摘要:	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.
關聯:	IMAGE AND VISION COMPUTING
显示于类别:	[資訊工程研究所] 期刊論文

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