Comparison of acute leukemia Image segmentation using HSI and RGB color space
| Autor: | Muhammad Khusairi Osman, N.R. Mokhtar, Rosline Hassan, Mohd Yusoff Mashor, R. A. A. Raof, A.N. Aimi Salihah, Harun Nor Hazlyna |
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| Rok vydání: | 2010 |
| Předmět: |
Color histogram
genetic structures Segmentation-based object categorization Computer science Color image business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Image segmentation RGB color space Image texture Region growing hemic and lymphatic diseases Computer vision Artificial intelligence business |
| Zdroj: | ISSPA |
| DOI: | 10.1109/isspa.2010.5605410 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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