Title :
Binary morphological coding of grayscale images
Author :
Rajala, A. ; Peterson, H.A. ; Delp, E.J.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
One approach to image coding is to segment the original gray-scale image and then encode the boundaries and the interiors of the segments to represent the image. The authors propose a novel image coding method based on this approach, with an important difference. With the proposed coding technique, an alternative representation of the image segments is used; instead of segment boundaries, morphological skeletons are used to represent the segments. The skeleton is a thin-lined caricature of the segment that summarizes its shape and conveys information about its size, orientation, and connectivity. A binary image morphological skeletonization procedure is used to create skeletons of the image segments. In this way, the gray-scale image is represented for coding purposes by the skeletons and the intensities of the segments. Preliminary estimates show a data rate of 0.12 bits per pixel can be obtained with this coding technique.<>
Keywords :
encoding; picture processing; binary image morphological skeletonization procedure; boundaries; data rate; grayscale images; image coding; intensities; interiors; morphological skeletons; thin-lined caricature; Computer vision; Gray-scale; ISDN; Image coding; Image processing; Image segmentation; Laboratories; Morphology; Shape; Skeleton;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
DOI :
10.1109/ISCAS.1988.15522