Chang-Heon WOO and Soo-Yong KIM

Department of Physics, Korea Advanced Institute of Science and Technology, Taejon, 305-701, South Korea

(Received July 6, 1995; Accepted August 29, 1995)

A new threshold selection algorithm for objects and background separation using a histogram of the number of foreground regions was proposed. This method used a human separation method for objects and background, examined the changes in the number of foreground regions in the image with varying threshold and determined a proper threshold value. The proposed technique was applied to several images and was compared with other histogram-based segmentation methods. The possibility of extension to multi-level thresholding was also examined.

Key words : thresholding, countgram, segmentation, separation, image processing