TY - GEN
T1 - Color image segmentation by means of a similarity function
AU - Alvarado-Cervantes, Rodolfo
AU - Felipe-Riveron, Edgardo M.
AU - Sanchez-Fernandez, Luis P.
PY - 2010
Y1 - 2010
N2 - An interactive, semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has two steps: 1) The manual selection of few sample pixels of the color to be segmented, 2) The automatic generation of the so called Color Similarity Image (CSI), which is a gray level image with all the tonalities of the selected color. The color information of every pixel is integrated by a similarity function for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive. It is shown that the improvement in quality of our proposed segmentation technique and its quick result is significant with respect to other solutions found in the literature.
AB - An interactive, semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has two steps: 1) The manual selection of few sample pixels of the color to be segmented, 2) The automatic generation of the so called Color Similarity Image (CSI), which is a gray level image with all the tonalities of the selected color. The color information of every pixel is integrated by a similarity function for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive. It is shown that the improvement in quality of our proposed segmentation technique and its quick result is significant with respect to other solutions found in the literature.
KW - Adaptive color similarity function
KW - Color image segmentation
KW - HSI parameter distances
KW - Morphology in color images
UR - http://www.scopus.com/inward/record.url?scp=78649942844&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16687-7_44
DO - 10.1007/978-3-642-16687-7_44
M3 - Contribución a la conferencia
SN - 3642166865
SN - 9783642166860
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 319
EP - 328
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, Proceedings
T2 - 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010
Y2 - 8 November 2010 through 11 November 2010
ER -