Title :
Image segmentation by local entropy methods
Author :
Althouse, Mark L G ; Chang, Chein-I
Author_Institution :
Edgewood Res. Dev. & Eng. Center, US Army Chem. & Biol. Defense Command, Aberdeen Proving Ground, MD, USA
Abstract :
This paper will briefly describe local entropy and local relative entropy thresholding methods and compare them to two studied methods from the literature, those of Kittler and Illingworth (1986) and of Otsu (1979)
Keywords :
entropy; image segmentation; image segmentation; local entropy methods; local relative entropy; thresholding methods; Chemical engineering; Entropy; Image generation; Image segmentation; Mathematics; Pixel; Probability distribution; Shape measurement; Smoothing methods; Weight measurement;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537580