J
Jyh-Charn Liu
Researcher at Texas A&M University
Publications - 99
Citations - 1545
Jyh-Charn Liu is an academic researcher from Texas A&M University. The author has contributed to research in topics: Image segmentation & Regular expression. The author has an hindex of 18, co-authored 98 publications receiving 1426 citations. Previous affiliations of Jyh-Charn Liu include University of Michigan.
Papers
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Journal ArticleDOI
Selective removal of impulse noise based on homogeneity level information
TL;DR: A decision-based, signal-adaptive median filtering algorithm for removal of impulse noise, which achieves accurate noise detection and high SNR measures without smearing the fine details and edges in the image.
Journal ArticleDOI
On the adaptive detection of blood vessels in retinal images
TL;DR: This paper proposes an automated blood vessel detection scheme based on adaptive contrast enhancement, feature extraction, and tracing that has lower TPR for the reported TPR measure.
Journal ArticleDOI
XML Document Parsing: Operational and Performance Characteristics
TL;DR: A survey of four representative XML parsing models-DOM, SAX, StAX, and VTD-reveals their suitability for different types of applications.
Journal ArticleDOI
Shadow attacks: automatically evading system-call-behavior based malware detection
TL;DR: This paper presents a new class of attacks, namely “shadow attacks”, to evade current behavior-based malware detectors by partitioning one piece of malware into multiple ‘shadow processes’, none of the shadow processes contains a recognizable malicious behavior specification known to single-process- based malware detectors.
Proceedings ArticleDOI
Non-linear analysis of traffic flow
TL;DR: This study concludes that the traffic data exhibits chaotic properties and techniques based on phase space dynamics can be used to analyze and predict the traffic flow.