Ming-Huwi Horng

Orcid: 0000-0001-6333-2457

According to our database1, Ming-Huwi Horng authored at least 27 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network.
Comput. Math. Methods Medicine, 2019

Learning One-class Support Vector Machine by Using Artificial Bee Colony Algorithm and Its Application for Disease Classification.
Proceedings of the 2019 International Electronics Communication Conference, 2019

2015
Motion Estimation Using the Firefly Algorithm in Ultrasonic Image Sequence of Soft Tissue.
Comput. Math. Methods Medicine, 2015

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm.
Comput. Intell. Neurosci., 2015

2012
Vector quantization using the firefly algorithm for image compression.
Expert Syst. Appl., 2012

2011
Multilevel minimum cross entropy threshold selection based on the firefly algorithm.
Expert Syst. Appl., 2011

Image vector quantization algorithm via honey bee mating optimization.
Expert Syst. Appl., 2011

Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation.
Expert Syst. Appl., 2011

Corrigendum to "Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers" [Expert Systems with Applications 37 (6) (2010) 4146-4155].
Expert Syst. Appl., 2011

2010
Parametric active contour model by using the honey bee mating optimization.
Expert Syst. Appl., 2010

Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization.
Expert Syst. Appl., 2010

Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers.
Expert Syst. Appl., 2010

A multilevel image thresholding using the honey bee mating optimization.
Appl. Math. Comput., 2010

Multilevel Image Thresholding Selection Based on the Firefly Algorithm.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010

The Codebook Design of Image Vector Quantization Based on the Firefly Algorithm.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

Multilevel Image Thresholding Selection Using the Artificial Bee Colony Algorithm.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2009
Multi-class support vector machine for classification of the ultrasonic images of supraspinatus.
Expert Syst. Appl., 2009

Multi-level Thresholding Selection by Using the Honey Bee Mating Optimization.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

Honey Bee Mating Optimization Scheme for Active Contour Model.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

Honey Bee Mating Optimization Vector Quantization Scheme in Image Compression.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Texture classification of the ultrasonic images of rotator cuff diseases based on radial basis function network.
Proceedings of the International Joint Conference on Neural Networks, 2008

Texture Characteristics for Classification of the Ultrasonic Images of Roator Cuff Disease.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
An ultrasonic image evaluation system for assessing the severity of chronic liver disease.
Comput. Medical Imaging Graph., 2007

2005
Feature distributions for unsupervised color texture segmentation.
Proceedings of the Signal and Image Processing (SIP 2005), 2005

1999
The Assessment of Chronic Liver Diseases by Sonography.
Proceedings of the Information Processing in Medical Imaging, 1999

1997
Index-based interpolation for maximum-intensity projection display.
Proceedings of the Medical Imaging 1997: Image Display, 1997

1996
Texture Feature Coding Method for Classification of Liver Sonography.
Proceedings of the Computer Vision, 1996


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