TY - GEN
T1 - An adaptive color similarity function for color image segmentation
AU - Alvarado-Cervantes, Rodolfo
AU - Felipe-Riveron, Edgardo M.
PY - 2011
Y1 - 2011
N2 - In this paper an interactive, semiautomatic image segmentation method is presented which, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has only two steps: 1) The manual selection of few sample pixels of the color to be segmented in the image; and 2) The automatic generation of the so called Color Similarity Image (CSI), which is just a gray level image with all the tonalities of the selected colors. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive and it has also good performance in gray level and low contrast images.
AB - In this paper an interactive, semiautomatic image segmentation method is presented which, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has only two steps: 1) The manual selection of few sample pixels of the color to be segmented in the image; and 2) The automatic generation of the so called Color Similarity Image (CSI), which is just a gray level image with all the tonalities of the selected colors. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive and it has also good performance in gray level and low contrast images.
KW - Adaptive color similarity function
KW - Color image segmentation
KW - HSI parameter distances
UR - http://www.scopus.com/inward/record.url?scp=81855177199&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25085-9_13
DO - 10.1007/978-3-642-25085-9_13
M3 - Contribución a la conferencia
SN - 9783642250842
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 113
EP - 124
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Proceedings
T2 - 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011
Y2 - 15 November 2011 through 18 November 2011
ER -