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Perceptual image quality assessment metric using mutual information of gabor features

Science China(Information Sciences) 2014年第3期57卷 130-138页

作者： DING Yong ZHANG Yuan WANG Xiang YAN XiaoLang KRYLOV Andrey S. Institute of VLSI Design Zhejiang University Laboratory of Mathematical Methods of Image Processing Lomonosov Moscow State University

A good objective metric of image quality assessment(IQA)should be consistent with the subjective judgment of human *** this paper,a four-stage perceptual approach for full reference IQA is *** the first stage,the visual features are extracted by 2-D gabor filter that has the excellent performance of modeling the receptive fields of simple cells in the primary visual *** in the second stage,the extracted features are post-processed by the divisive normalization transform to reflect the nonlinear mechanisms in human visual *** the third stage,mutual information between the visual features of the reference and distorted images is employed to measure the visual *** in the last pooling stage,the mutual information is converted to the final objective quality *** results show that the proposed metic has a high correlation with the subjective assessment and outperforms other state-of-the-art metrics.

关键词： image quality assessment mutual information gabor features perceptual metric entropy

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Hepatic CT Image Query Based on Threshold-based Classification Scheme with gabor features

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Journal of Shanghai Jiaotong university(Science) 2008年第6期13卷 753-758页

作者：蒋历军罗永兴赵俊庄天戈 Department of Biomedical Engineering Medical SchoolShanghai Jiaotong UniversityShanghai 200025China

Hepatic computed tomography(CT) images with gabor function were *** a threshold-based classification scheme was proposed using gabor features and proceeded with the retrieval of the hepatic CT *** our experiments, a batch of hepatic CT images containing several types of CT findings was used and compared with the Zhao's image classification scheme, support vector machines(SVM) scheme and threshold-based scheme.

关键词： content based image retrieval gabor features threshold-based scheme support vector machines (SVM) hepatic computed tomography (CT) images

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Automated detection and identification of white-backed planthoppers in paddy fields using image processing

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Journal of Integrative Agriculture 2017年第7期16卷 1547-1557页

作者： YAO Qing CHEN Guo-te WANG Zheng ZHANG Chao YANG Bao-jun TANG Jian School of Information Science and Technology Zhejiang Sci-Tech University State Key Laboratory of Rice Biology China National Rice Research Institute

A survey of the population densities of rice planthoppers is important for forecasting decisions and efficient control. Tra- ditional manual surveying of rice planthoppers is time-consuming, fatiguing, and subjective. A new three-layer detection method was proposed to detect and identify white-backed planthoppers （WBPHs, Sogatella furcifera （Horvath）） and their developmental stages using image processing. In the first two detection layers, we used an AdaBoost classifier that was trained on a histogram of oriented gradient （HOG） features and a support vector machine （SVM） classifier that was trained on gabor and Local Binary Pattern （LBP） features to detect WBPHs and remove impurities. We achieved a detection rate of 85.6% and a false detection rate of 10.2%. In the third detection layer, a SVM classifier that was trained on the HOG features was used to identify the different developmental stages of the WBPHs, and we achieved an identification rate of 73.1%, a false identification rate of 23.3%, and a 5.6% false detection rate for the images without WBPHs. The proposed three-layer detection method is feasible and effective for the identification of different developmental stages of planthoppers on rice plants in paddy fields.

关键词： white-backed planthopper developmental stage automated detection and identification image processing histogram of oriented gradient features gabor features local binary pattern features

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Preface

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Science China(Technological Sciences) 2014年第4期57卷 651-651页

With ever-increasing miniaturization and prominence of micro- and nano-scale materials and systems for engineering, func- tional and biological applications, understanding of the mechanical and thermal behavior of the nano- and micro-scale mate- rials/systems becomes critical to the development of technologies. Issues concerning mechanical and thermal response and reliability pervade a wide range of areas, from bulk materials to thin films, from crystalline materials to amorphous materials,

关键词： image quality assessment mutual information gabor features perceptual metric entropy

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