Automatic Multi-level Thresholding on Thermal Images

• Main Authors: Chang, Jung Shiong, 張俊雄
• Other Authors: Liao, Hong Yuan
• Format: Others
• Language: en_US
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/52205597843210622394

碩士 === 國立中正大學 === 電機工程研究所 === 83 === A new wavelet-based automatic multi-level thresholding techn- ique is proposed. The new technique is a generalized version of the method proposed by Olivo. In his paper, Olivo proposed to use a set of dilated wavelets to convolve with the histogram of an image. For each scale, a set of thresholds was determined aut- omatically based on the rules he proposed. However, Olivo did not provide a systematic way to decide an exact set of thresholds which corresponds to a specific scale that can make the segmenta- tion result best. In this thesis, we propose to use a cost func- tion as a guidance to solve the above problem. Experimental results show that our approach can always automatically select the best scale for performing multi- level thresholding.