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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Journal ArticleDOI
Usefulness of the heart-rate variability complex for predicting cardiac mortality after acute myocardial infarction.
Tao Song,Xiu Fen Qu,Ying Tao Zhang,Wei Cao,Bai He Han,Yang Li,Jing Yan Piao,Lei Lei Yin,Heng-Da Cheng +8 more
TL;DR: HRV complex yielded the largest AUC and is the best classifier for predicting cardiac death after AMI, and tested the accuracy of predictors by assessing the area under the receiver-operator characteristics curve (AUC).
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Automatic wavelet base selection and its application to contrast enhancement
Heng-Da Cheng,Rui Min,Ming Zhang +2 more
TL;DR: A novel approach to automatic selecting wavelet bases and parameters which is an important and essential issue for implementing wavelet algorithms is proposed and it is superior to some other existing methods.
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A novel approach for tracking high speed skaters in sports using a panning camera
TL;DR: This paper presents a computer vision system for tracking high-speed non-rigid skaters over a larger rink in short track speed skating competitions and proposes a new method for automatically computing the transformation matrices to map each frame to the globally consistent model of the rink.
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An improved quantitative measurement for thyroid cancer detection based on elastography.
TL;DR: The hard area ratio is an important feature of elastogram, and appropriately selected hard threshold can improve classification accuracy, as well as the relation between the performance and hard threshold.
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A feature-dependent fuzzy bidirectional flow for adaptive image sharpening
TL;DR: A fuzzy bidirectional flow framework based on generalized fuzzy set is presented to sharpen image by reducing its edge width, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote line (edge), while does a certain forward diffusion alongThe tangent direction on the contrary.