H
Heng-Da Cheng
Researcher at Utah State University
Publications - 237
Citations - 11404
Heng-Da Cheng is an academic researcher from Utah State University. The author has contributed to research in topics: Image segmentation & Fuzzy logic. The author has an hindex of 49, co-authored 234 publications receiving 10214 citations. Previous affiliations of Heng-Da Cheng include Halifax & Harbin Institute of Technology.
Papers
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Color image segmentation: advances and prospects
TL;DR: This survey provides a summary of color image segmentation techniques available now based on monochrome segmentation approaches operating in different color spaces and some novel approaches such as fuzzy method and physics-based method are investigated.
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Automated breast cancer detection and classification using ultrasound images: A survey
TL;DR: Generally, a CAD system consists of four stages: preprocessing, segmentation, feature extraction and selection, and classification, and their advantages and disadvantages are discussed.
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Computer-aided detection and classification of microcalcifications in mammograms: a survey
TL;DR: The high correlation between the appearance of the microcalcification clusters and the diseases show that the CAD (computer aided diagnosis) systems for automated detection/classification of MCCs will be very useful and helpful for breast cancer control.
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Approaches for automated detection and classification of masses in mammograms
TL;DR: The methods for mass detection and classification for breast cancer diagnosis are discussed, and their advantages and drawbacks are compared.
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A simple and effective histogram equalization approach to image enhancement
Heng-Da Cheng,Xiangjun Shi +1 more
TL;DR: The multi-peak generalized histogram equalization (multi-peak GHE) is proposed, which is improved by using multi- peak histogramequalization combined with local information to enhance the images effectively.