Comparison of acute leukemia Image segmentation using HSI and RGB color space
Harun Nor Hazlyna, Mohd Yusoff Mashor, N.R. Mokhtar, Aimi Salihah Abdul Nasir, Rosline Hassan, Rafikha Aliana A. Raof, Muhammad Khusairi Osman · 2010
The Image segmentation plays an important role in computer vision and image processing areas. In this paper, the use of color segmentation for segmenting acute leukemia images is proposed. The segmentation technique segments each leukemia image into two regions: blast and background. In our approach, the segmentation is based on HSI and RGB color space. The performance comparison between the segmentation algorithms based on HSI and RGB color space is carried out to choose a better color image segmentation for blast detection. The results show that the proposed segmentation technique based on HSI has successfully segmented the acute leukemia images while preserving significant features and removing background noise.