K
Kosin Chamnongthai
Researcher at King Mongkut's University of Technology Thonburi
Publications - 142
Citations - 1036
Kosin Chamnongthai is an academic researcher from King Mongkut's University of Technology Thonburi. The author has contributed to research in topics: Feature extraction & Computer science. The author has an hindex of 12, co-authored 130 publications receiving 750 citations.
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Journal ArticleDOI
Fusion of color histogram and LBP-based features for texture image retrieval and classification
TL;DR: This work overcomes the problem by adding an additional color feature, namely Color Information Feature (CIF), along with the LBP-based feature in the image retrieval and classification systems, which adequately represent the color and texture features.
Proceedings ArticleDOI
Autonomous robot for a power transmission line inspection
TL;DR: An autonomous robot for power transmission line inspection, that can induce the voltage from the transmission line as a power source, is presented and the results have shown that the robot can automatically move along the power Transmission line.
Journal ArticleDOI
Multi-Modal Visual Features-Based Video Shot Boundary Detection
TL;DR: A multi-modal visual features-based SBD framework is employed that aims to analyze the behaviors of visual representation in terms of the discontinuity signal and can achieve good accuracy in both types of video data set compared with other proposed SBD methods.
Proceedings ArticleDOI
Acute leukemia classification by using SVM and K-Means clustering
TL;DR: This work focuses on classification of Foil of Bretagne (Lymphoid) and Almeida Lloyd (Myeloid) so that, physicians can analyze, detect anomalies and ensure the diagnosis.
Journal ArticleDOI
Classification of acute leukemia using medical-knowledge-based morphology and CD marker
TL;DR: A method of morphological cell-subtype classification based on the coarse-to-fine concept following current medical knowledge is proposed, and the results indicate 99.67% accuracy, a 4.94% improvement compared with the conventional method.