Multi-level thresholding algorithm for color image segmentation
NM Nimbarte, MM Mushrif - 2010 Second International …, 2010 - ieeexplore.ieee.org
2010 Second International Conference on Computer Engineering and …, 2010•ieeexplore.ieee.org
In this paper, we present an effective multilevel threshold selection method of color image
segmentation based on minimum class variance thresholding (MCVT) and OTSU method.
The input RGB color image is segmented into regions and proceeds to the region merge
using JND (Just Noticeable Difference) of human visual property. The result shows that with
simple yet very effective JND merge criteria, the proposed algorithm is capable of generating
region representations. After analyzing these two results, Otsu method is better than MCVT …
segmentation based on minimum class variance thresholding (MCVT) and OTSU method.
The input RGB color image is segmented into regions and proceeds to the region merge
using JND (Just Noticeable Difference) of human visual property. The result shows that with
simple yet very effective JND merge criteria, the proposed algorithm is capable of generating
region representations. After analyzing these two results, Otsu method is better than MCVT …
In this paper, we present an effective multilevel threshold selection method of color image segmentation based on minimum class variance thresholding (MCVT) and OTSU method. The input RGB color image is segmented into regions and proceeds to the region merge using JND (Just Noticeable Difference) of human visual property. The result shows that with simple yet very effective JND merge criteria, the proposed algorithm is capable of generating region representations. After analyzing these two results, Otsu method is better than MCVT method.
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