Title :
An algorithm for unsupervised color image segmentation
Author :
Lucchese, L. ; Mitra, S.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
In a great number of fields of computer vision image segmentation plays an essential role as a preliminary step towards further and higher levels of image processing. An original algorithm for unsupervised segmentation of color images is here presented; it resorts to a palletized representation of images, it uses the low spatial frequency content of color which is represented in the CIELUV space and in this space it builds and thresholds hue and chroma histograms finding out the color clusters which allow the image to be segmented. Evidence of the algorithm´s effectiveness is reported
Keywords :
computer vision; image colour analysis; image representation; image segmentation; unsupervised learning; CIELUV space; chroma histogram; color clusters; computer vision image segmentation; histograms thresholding; hue histogram; image processing; low spatial frequency content; palletized representation; unsupervised algorithm; unsupervised color image segmentation; video sequences; Clustering algorithms; Color; Computer vision; Frequency estimation; Histograms; Image processing; Image segmentation; Pixel; Software libraries; Wavelet transforms;
Conference_Titel :
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-4919-9
DOI :
10.1109/MMSP.1998.738909
