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International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)

作者： Zhang Qiu-na Xiamen Inst Software Technol Xiamen 361024 Peoples R China

ISBN: (纸本)9781728113074

Traditionally, the face recognition algorithm based on principal component analysis (PCA) is not robust to the change of skin color and pose. In order to solve this problem, a dynamic face recognition algorithm based on block sample feature matching is proposed According to the principal component feature decomposition algorithm, each block feature quantity is projected onto the base coordinates of the test face sample set. The average mutual information entropy of each module vector quantization coding is used to represent the weight of the module, and the corner detection and texture matching of the face are carried out. The weight of the module is given to the feature face projection of the module, and face recognition is optimized The simulation results show that the algorithm has good feature matching and high recognition accuracy.

关键词： intelligent image face recognition feature matching vector quantization coding

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Improvement of Face Recognition Technology Based on Intelligent Image

Improvement of Face Recognition Technology Based on Intellig...

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作者： ZHANG Qiu-na Xiamen Institute Software Technology

Traditionally,the face recognition algorithm based on principal component analysis(PCA) is not robust to the change of skin color and *** order to solve this problem,a dynamic face recognition algorithm based on block sample feature matching is proposed According to the principal component feature decomposition algorithm,each block feature quantity is projected onto the base coordinates of the test face sample *** average mutual information entropy of each module vector quantization coding is used to represent the weight of the module,and the corner detection and texture matching of the face are carried *** weight of the module is given to the feature face projection of the module,and face recognition is *** simulation results show that the algorithm has good feature matching and high recognition accuracy.

关键词： intelligent image face recognition feature matching vector quantization coding

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quantization-based image authentication scheme using QR error correction

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EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2017年第1期2017卷 1页

作者： Wu, Wen-Chuan Aletheia Univ Dept Comp Sci & Informat Engn 32 Zhenli St Taipei 25103 Taiwan

Image authentication, which is provided with capabilities of tamper detection and data recovery, is an efficient way to protect the contents of digital images. vector quantization (VQ) is a data compression method. A VQ-compressed code is not only a significant image authentication feature but also applicable in restoring possibly damaged pixels. However, if an image is tampered with, the necessary recovery information disappears. To solve this problem, this paper proposes a quantization-based image authentication scheme using two-dimensional (2D) barcodes to protect important features. Compared with older linear barcodes, 2D barcodes are a machine-readable representation of binary data that possess capabilities of location and tolerance. This paper presents a method for incorporating VQ-compressed code into 2D barcodes and embedding those barcodes into the image itself. Experimental results showed that VQ codes can be completely reserved during data recovery even though quick response codes sustain certain perceptible distortions. Moreover, the proposed scheme provided higher quality authenticated and recovered images compared with previous methods.

关键词： Image authentication Tamper detection QR code Error correction vector quantization coding

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Description of medical images in characteristic subspace and vector quantization coding based on wavelet transformation

Description of medical images in characteristic subspace and...

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International Conference on Image Processing (ICIP-96)

作者： Chen, WF Zhou, J She, YH Chen, JJ Lu, XQ FIRST MIL MED UNIV DEPT BMEGUANGZHOU 510515PEOPLES R CHINA

ISBN: (纸本)0780332598

With the novel idea of describing an image in characteristic subspace (DCS), a new approach of a more efficient image compression for some types of images, such as medical sciagraph, is proposed. Firstly, we obtain the coefficient image of the original image by its description in the DCS; then we decompose the coefficient image with a forward wavelet transform (WT) with multi-resolution to remove the redundant information; and finally encode the decomposed image by vector quantization (VQ). In comparison with WT-VQ or DCT-VQ, the new method (DCS-WT-VQ) has been proved by experiments to have a much higher compression ratio and SNR, requiring a lower computational time in the coding and decoding process.

关键词： medical image processing image coding vector quantisation transform coding wavelet transforms decoding computational complexity diagnostic radiography medical image description characteristic subspace vector quantization coding wavelet transformation image compression medical sciagraph coefficient image forward wavelet transform multi-resolution redundant information removal WT-VQ DCT-VQ DCS-WT-VQ experiments compression ratio SNR computational time image coding decoding

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电子封装常用名称及术语汇集

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微纳电子技术 1997年第4期 62-66页

作者： Xu Yong, Deng Xiaoying (Dept.of Science and Technology,Changchun Post and Telecommun.Inst., 130012 Changchun) Chen Hexin, Dai Yisong (Jilin University of Technology)

电子封装常用名称及术语汇集下面，按英文字母顺序，汇集并解释了与目前ＬＳＩ（包括ＩＣ）正在采用的主要封装形式相关联的名称术语等。这些名称术语参考并引用了日本国内１２个半导体制造公司，其他国家７个半导体制造公司＊与ＬＳＩ... 详细信息

电子封装常用名称及术语汇集下面，按英文字母顺序，汇集并解释了与目前ＬＳＩ（包括ＩＣ）正在采用的主要封装形式相关联的名称术语等。这些名称术语参考并引用了日本国内１２个半导体制造公司，其他国家７个半导体制造公司＊与ＬＳＩ封装相关的资料、日本电子机械工业会...

关键词： Image compression vector quantization coding Neural networks Fuzzy clustering

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