TY - GEN
T1 - Rapid color-based segmentation in digital image processing
AU - Engelberg, Yaakov M.
AU - Chavel, A. C.
AU - Stroh, U.
AU - Weiss, Aryeh M.
AU - Rotman, Stanley R.
PY - 1993/12/1
Y1 - 1993/12/1
N2 - A necessary part of digital image processing is segmentation of the images into a set of objects which exist on some background. We are interested in a class of objects whose distinguishing characteristic is their color. Such objects occur in many applications, such as microscopy, printing, production line monitoring, etc. In this work, a general method of rapid color-based segmentation is presented. The only hardware requirement is that look up tables (LUT) be available. Most image processing hardware contains either LUTs or processors capable of rapidly performing table lookup. The method presented allows simultaneous application of constraints on both hue and saturation. In addition, it allows for use of different color transformations. As such, it constitutes a general approach to analysis of images consisting of three spectral components. Because of the speed of LUT operations, this approach is suitable for many applications which are time sensitive. The major drawback of using LUTs is that the gray level resolution per color is limited by the size of the LUT. This method was implemented on a Matrox MVP-AT image processor, which is capable of processing 12 bit images (4 bits/color). In many cases, this resolution is adequate, as can be seen from examples which are presented.
AB - A necessary part of digital image processing is segmentation of the images into a set of objects which exist on some background. We are interested in a class of objects whose distinguishing characteristic is their color. Such objects occur in many applications, such as microscopy, printing, production line monitoring, etc. In this work, a general method of rapid color-based segmentation is presented. The only hardware requirement is that look up tables (LUT) be available. Most image processing hardware contains either LUTs or processors capable of rapidly performing table lookup. The method presented allows simultaneous application of constraints on both hue and saturation. In addition, it allows for use of different color transformations. As such, it constitutes a general approach to analysis of images consisting of three spectral components. Because of the speed of LUT operations, this approach is suitable for many applications which are time sensitive. The major drawback of using LUTs is that the gray level resolution per color is limited by the size of the LUT. This method was implemented on a Matrox MVP-AT image processor, which is capable of processing 12 bit images (4 bits/color). In many cases, this resolution is adequate, as can be seen from examples which are presented.
UR - http://www.scopus.com/inward/record.url?scp=0027797303&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0027797303
SN - 081941218X
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 157
EP - 165
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Shladov, Itzhak
A2 - Weissman, Yitzhak
A2 - Oron, Moshe
PB - Publ by Society of Photo-Optical Instrumentation Engineers
T2 - 8th Meeting on Optical Engineering on Israel: Optoelectronics and Applications in Industry and Medicine
Y2 - 14 December 1992 through 16 December 1992
ER -