Autores
Alvarado Cervantes Rodolfo
Felipe Riverón Edgardo Manuel
Título An adaptive color similarity function for color image segmentation
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 16th Iberoamerican Congress on Pattern Recognition
Resumen 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.
Observaciones CIARP 2011; Code 87418
Lugar Pucon
País Chile
No. de páginas 113-124
Vol. / Cap. Vol. 7042 LNCS
Inicio 2011-11-15
Fin 2011-11-18
ISBN/ISSN 978-364225084-2