Proceedings ArticleDOI
A connectionist approach for color image segmentation
V. V. Vinod,Santanu Chaudhury,Jayanta Mukherjee,Sujoy Ghose +3 more
- Vol. 1992, pp 100-104
TLDR
A connectionist clustering strategy is presented for segmenting color images using the local peaks in the 3-D red, green, blue histogram as prototypes and the prototype selection method is faster than existing clustering neural networks.Abstract:
A connectionist clustering strategy is presented for segmenting color images. First the local peaks in the 3-D red, green, blue histogram are located. Then using these as the prototypes other patterns are classified into one of them. The prototype selection method employs only neuronal dynamics and therefore is faster than existing clustering neural networks. The classification network takes into account the distribution of the data and hence is less prone to misclassifications. Experimental results obtained by applying the network for segmenting one color image are presented. >read more
Citations
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Book ChapterDOI
Fast training of SVM via morphological clustering for color image segmentation
TL;DR: A novel method of designing efficient SVM for fast color image segmentation by using a morphological unsupervised clustering technique and samples at the boundary of each cluster are selected for SVM training.
References
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