Color Quantization by Morphological Histogram Processing

In a previous paper it was proposed a graylevel quantization method by morphological histogram processing. This paper introduces the extension of that quantization method to color images. Considering an image under the RGB color space model, this extension reduces the number of colors in the image by partitioning an 3-D histogram, similar to the RGB color space, in rectangular parallelepiped regions, through a iterative process. Such partitioning is done, in each interation, by application of the graylevel quantization method to the longest dimension of the current region which have the greatest volume. The final classified color space is used to quantize the image. This paper also shows the comparison of the proposed method to the classical median cut one

1: Color Quantization by Morphological Histogram Processing

Review of a work submitted to the International Symposium on Mathematical Morphology, 8 (ISMM)

2: Color Quantization by Morphological Histogram Processing

Review of a work submitted to the International Symposium on Mathematical Morphology, 8 (ISMM)

3: Color Quantization by Morphological Histogram Processing

Review of a work submitted to the International Symposium on Mathematical Morphology, 8 (ISMM)