Autores
Alvarado Cervantes Rodolfo
Felipe Riverón Edgardo Manuel
Sánchez Fernández Luis Pastor
Título Color image segmentation by means of a similarity function
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 15th Iberoamerican Congress on Pattern Recognition
Resumen 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.
Observaciones CIARP 2010; Code 82715; SBN: 3642166865;978-364216686-0
Lugar Sao Paulo
País Brasil
No. de páginas 319-328
Vol. / Cap. Vol. 6419 LNCS,
Inicio 2010-11-08
Fin 2010-11-11
ISBN/ISSN 78-364216686-0