A Review for Object Recognition using Color Based Image Quantization Technique

Manpreet Kaur, Silky Narang

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

Full Text:

PDF




Copyright (c) 2014 Manpreet Kaur, Silky Narang

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

All published Articles are Open Access at  https://journals.pen2print.org/index.php/ijr/ 


Paper submission: ijr@pen2print.org