A Review for Object Recognition using Color Based Image Quantization Technique
Abstract
This paper deals with a review on various Color Quantization Techniques .The aim is to propose Exemplar-based object recognition which uses an adaptive color quantization scheme to obtain a coarse image representation. The tiny regions are combined based on color information. The Energy transform function using extracted color map is used as a criterion for image segmentation. The motivation for the proposed method is to obtain the similar and significant objects in different images using color quantization.
Keywords
Color Quantization, color map, Fuzzy c-means clustering algorithm, kernel-based Fuzzy c-means clustering algorithm . REFERENCES
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PDFCopyright (c) 2014 Manpreet Kaur, Silky Narang
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