Ming-Ni Wu

Xiamen University of Technology

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Li‐Hong Juang

Nanjing University of Information Science and Technology

Chin‐Chen Chang

Feng Chia University

Chia‐Chen Lin

National Center for Research on Earthquake Engineering

Puu-An Juang

National Chung Hsing University

Shin-An Lin

National Taichung University of Science and Technology

Feng-Mao Tsou

National Taichung University of Science and Technology

Yu-Chiang Li

National Yunlin University of Science and Technology

Shunsheng Yang

Ji Hua Laboratory

Cian‐Huei Lin

Xiamen University of Technology

Chih‐Hung Lin

Chang Gung Memorial Hospital

Cooperative Institutions

National Taichung University of Science and Technology

Feng Chia University

National Taiwan University

Xiamen University of Technology

Chang Gung Memorial Hospital

National Yang Ming Chiao Tung University

University of Technology Malaysia

National Chung Hsing University

National Cheng Kung University

Ji Hua Laboratory

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MRI brain lesion image detection based on color-converted K-means clustering segmentation

Measurement (2010)

Li‐Hong Juang Ming-Ni Wu

Tracking (education)

10.1016/j.measurement.2010.03.013

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Citations (137)

X-ray Image Reconstruction by Radon Transform Simulation with Fan-Beam Allocation

Puu-An Juang Ming-Ni Wu

A Radon transform algorithm, which incorporates correlated X-ray images into the processing of back- projection with fan-beam geometry reconstruction with the aim of improving image quality, was developed. We evaluate and compare these reconstruction images with the original image. The results show that the proposed method produces reconstructed images with quiet high peak-signal-to-noise ratio.

Radon transform

10.1109/iih-msp.2007.328

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Citations (1)

Novel image copy detection with rotating tolerance

Journal of Systems and Software (2007)

Ming-Ni Wu Chia‐Chen Lin Chin‐Chen Chang

10.1016/j.jss.2006.12.001

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Citations (33)

A Fast Wavelet-Based Image Progressive Transmission Method Based on Vector Quantization

Ming-Ni Wu Chia‐Chen Lin Chin‐Chen Chang

In this paper, we propose a fast progressive image transmission method based on wavelet decomposition and vector quantization. The wavelet decomposition provides the useful classified characteristic. In addition, vector quantization (VQ) has the advantages of high compression ratio and coding easiness. Combining these techniques, we further design different VQ coding strategies for the wavelet coefficients in different sub bands so that a fast and efficient progressive transmission can be provided. Experimental results also confirm the high PSNR and low bit rate can be achieved in the first two and three phases. Moreover, our proposed method has higher PSNR values and lower bit rates than BMP in the first two transmission phases which means our method is capable of helping the receiver to make an early decision as to stop the transmission session or not.

10.1109/icicic.2006.194

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Citations (1)

TUMOR CLASSIFICATION USING AUTOMATIC MULTI-THRESHOLDING

Intelligent Automation & Soft Computing (2017)

Li‐Hong Juang Ming-Ni Wu

AbstractIn this paper we explore these math approaches for medical image applications. The application of the proposed method for detection tumor will be able to distinguish exactly tumor size and region. In this research, some major design and experimental results of tumor objects detection method for medical brain images is developed to utilize an automatic multi-thresholding method to handle this problem by combining the histogram analysis and the Otsu clustering. The histogram evaluations can decide the superior number of clusters firstly. The Otsu classification algorithm solves the given medical image by continuously separating the input gray-level image by multi-thresholding until reaching optimal smooth rate. The method solves exactly the problem of the uncertain contoured objects in medical image by using the Otsu clustering classification with automatic multi-thresholding operation.

Balanced histogram thresholding

Otsu's method

10.1080/10798587.2016.1272778

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Citations (2)

Image noise reduction using Wiener filtering with pseudo-inverse

Measurement (2010)

Li‐Hong Juang Ming-Ni Wu

Wiener filter

Wiener deconvolution

Gaussian Noise

Inverse filter

Salt-and-pepper noise

10.1016/j.measurement.2010.09.021

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Citations (20)

An Algorithm for Color Image Compression Base on Common Bit Map Block Truncation Coding.

Joint International Conference on Information Sciences (2002)

Chin‐Chen Chang Ming-Ni Wu

Block Truncation Coding

Color Cell Compression

Truncation (statistics)

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Citations (6)

Abnormal action tracking using robot vision system

Li‐Hong Juang Ming-Ni Wu

Nowadays medical technology makes the inevitable trend of an ageing population. So intelligent home care is an important direction of development of science and technology, in particular, elderly in-home safety management issues become more and more important. In this research, we propose a low of operation algorithm and use the triangular pattern rule, then can quickly detect abnormal movements of humanoid by the installation of a robot with camera vision at home that will be able to judge the abnormal movements of in-home elderly in real time. In this research, we will present a preliminary design and experimental results of abnormal movements from body posture that utilizes image pre-processing and three triangular-mass-central points to extract the characteristics. The result shows that the proposed method would adopt the few characteristic value and the accuracy can reach to 90% a single character posture. Furthermore the accuracy can be up to 100% when a continuous-time sampling criterion and support vector machine (SVM) classifier are taken.

Ageing society

10.1109/icawst.2013.6765480

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Citations (1)

An embedding technique based upon block prediction

Journal of Systems and Software (2007)

Ming-Ni Wu Chia‐Chen Lin Chin‐Chen Chang

Payload (computing)

10.1016/j.jss.2007.09.017

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Citations (19)

A color re-indexing scheme using genetic algorithm

Ming-Ni Wu Chia‐Chen Lin Chin‐Chen Chang

An indexed image consists of the lookup color table and index sequence. To further reduce the transmission size of indexed images, many lossless image compression techniques are applied. Some of them perform the re-indexing of color indices according to perceptive similarity between different colors. Recording the color table, however, can lead to lower entropy of predictive errors. Several schemes focus on color re-indexing have been proposed. However, it is a time-consuming process to find out an optimal order of a color table. Therefore, most of them only can provide good performance on either execution time or compression ratio. In this paper, we explore a heuristic method based on genetic algorithm to improve the performances on execution time and compression ratio and keep the balance between them. Experimental results further confirm that our proposed scheme only takes one-third the execution time to provide compression ratios those are very close to Memon et al.'s scheme's. The effectiveness of our proposed scheme is acceptable and proved. Moreover, our scheme is particularly suited for real-time applications that require higher compression ratio.

Lookup table

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Citations (2)