Color Image Segmentation Thesis

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It finds optimal threshold by mathematical criterion judging the accuracy of image segmentation.

The method of pre-processing of image is mean filter firstly.

I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.

This thesis presents color image segmentation as a vital step of image analysis in computer vision.

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Then, it extracts hue information of true color image and uses maximum entropy for image segmentation, judging accuracy of image segmentation by segmentation area whether it is in accordance with the 3σ principle.

Mathematical morphology is used for smoothing image and eliminating small holes.

The experiments for character segmentation involve the RGB, HSV/HSI and 1976 CIE L*a*b* color spaces as well as their Karhunen-Loéve transforms.

The segmentation techniques applied include multivariate hierarchical agglomerative clustering and minimum-variance color quantization.


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