NEW AUTOMATIC MULTILEVEL THRESHOLDING TECHNIQUE FOR SEGMENTATION OF THERMAL IMAGES

A new wavelet-based automatic multi-level thresholding technique is pr oposed. The new technique is a generalized version of the method propo sed by Olive [1]. Olive [1] proposed using a set of dilated wavelets t o convolve with the histogram of an image. For each scale, a set of th resholds 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 cos t 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.