Chih-Cheng Hung

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Next Generation Wireless Systems (NGWS) will provide a variety of services to mobile users including high speed data, real-time applications and real-time multimedia support with a certain quality of service (QoS) level. An efficient handoff management is one of the key issues in order to support global roaming of the mobile users among different network(More)
Unsupervised fuzzy clustering algorithms are one of many approaches used in image segmentation. The Fuzzy C-means algorithm (FCM) and the Possibilistic C-means algorithm (PCA) have been widely used. There is also the generalized possibilistic algorithm (GPCA). GPCA was proposed recently and is a general form of the previous algorithms. These clustering(More)
Calculating and generating optimal motion path automatically is one of the key issues in virtual human motion path planning. To solve the point, the improved A* algorithm has been analyzed and realized in this paper, we modified the traditional A* algorithm by weighted processing of evaluation function, which made the searching steps reduced from 200 to 80(More)
This paper addresses the problem of image texture classification. A novel texture feature called "characteristic view", which is directly extracted from a kernel corresponding to each texture class, was developed. The K-views template method was used to classify the texture pixels based on these features. The characteristic view concept is based on the(More)
In this paper a nonparametric contextual classification using both spectral and spatial information will be proposed for hyperspectral image classification. Essentially, among the classification, spatial information is acquired on the basis of Markov random field (MRF) and then joined with the nonparametric density estimation. Two MRF-based nonparametric(More)
Multi-focus image fusion is one of the important embranchments of image fusion. It has been widely used in target identification, remote sensing image processing and so on. In this paper, a new multi-focus image fusion method based on multi-band vector wavelet is presented. Furthermore, some post processing is done in this paper, in which anisotropic(More)
A Quantum-Modeled K-Means clustering algorithm for multi-band image segmentation is explored and evaluated. Data sets of interest include multi-band RGB imagery, which subsequent to classification is analyzed and assessed for accuracy. Results demonstrate that under specific conditions the algorithm exhibits improved accuracy, when compared to its classical(More)