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- W2894841830 abstract "Despite the availability of huge volume technical advancement and numerous diagnostic tools, identification and spotting out of breast cancer at an early stage is still a challenging task. In this paper, a tree seed optimization (TSA) algorithm for optimizing the enhancement parameter of Local Contrast (LC) regularized Contrast Limited Adaptive Histogram Equalization (CLAHE) is presented. The TSA method of tuning the enhancement factor of LC-CLAHE achieves very good enhancement of mammogram images compared to other contrast enhancement methods available in the literature. Images from MIAS database is used for testing the proposed method. Contrast Improvement Factor (CIF) is used as an effective quality testing parameter. Experimental results explicate that the proposed method preserves the local information present in the image and also provides optimized contrast enhancement." @default.
- W2894841830 created "2018-10-12" @default.
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- W2894841830 date "2018-10-02" @default.
- W2894841830 modified "2023-09-27" @default.
- W2894841830 title "Local Contrast Regularized Contrast Limited Adaptive Histogram Equalization Using Tree Seed Algorithm—An Aid for Mammogram Images Enhancement" @default.
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- W2894841830 doi "https://doi.org/10.1007/978-981-13-1921-1_67" @default.
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