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

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題名:	New automatic multi-level thresholding technique for segmentation of thermal images
作者:	Chang,JS;Liao,HYM;Hor,MK;Hsieh,JW;Chern,MY
貢獻者:	資訊工程研究所
關鍵詞:	WAVELET TRANSFORM;SELECTION;DIFFUSION
日期:	1997
上傳時間:	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
顯示於類別:	[資訊工程研究所] 期刊論文

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