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14 December 2015 Cytoplasm enhancement operator of peripheral blood smear images that are instable-stained and overexposed
Xin Zheng, Guoyou Wang, Jianguo Liu
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Proceedings Volume 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing; 98140K (2015) https://doi.org/10.1117/12.2204726
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Nucleus and cytoplasm are both essential for white blood cell recognition but the edges of cytoplasm are too blurry to be detected because of instable staining and overexposure. This paper aims at proposing a cytoplasm enhancement operator (CEO) to achieve accurate convergence of the active contour model. The CEO contains two parts. First, a nonlinear over-exposure enhancer map is yielded to correct over-exposure, which suppresses background noise while preserving details and improving contrast. Second, the over-exposed regions of cytoplasm in particular is further enhanced by a tri- modal histogram specification based on the scale-space filtering. The experimental results show that the proposed CEO and its corresponding GVF snake is superior to other unsupervised segmentation approaches.
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Xin Zheng, Guoyou Wang, and Jianguo Liu "Cytoplasm enhancement operator of peripheral blood smear images that are instable-stained and overexposed", Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 98140K (14 December 2015); https://doi.org/10.1117/12.2204726
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KEYWORDS
Expectation maximization algorithms
Image segmentation
Blood
Image enhancement
Image processing
Image processing algorithms and systems
RGB color model
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