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Study on image retrieval based on image texture and color statistical projection

NEUROCOMPUTING 2016年 215卷 217-224页

作者： Zheng, Xiaofei Tang, Bing Gao, Zhe Liu, Enping Luo, Wei CATAS Inst Sci & Tech Informat Danzhou 571737 Hainan Peoples R China Hainan Univ Editorial Dept Journal Haikou 570228 Peoples R China CATAS Inst Sci & Tech Informat Danzhou 571737 Hainan Peoples R China CATAS Rubber Res Inst Danzhou 571737 Hainan Peoples R China

This article presents an image texture and hue statistical projection based retrieval. First the image is converted to HSI color model, the gray value of the image extraction, and robert algorithm to extract the texture, then the image is divided into blocks and extracts the main color block, the main color image blocks are respectively projected in the horizontal and vertical direction of 2, get 2 projection histogram, the 2 projection histograms of the first three order center extraction distance and robert algorithm as the features of texture, image similarity calculation. Make a very full pave the way for future Canny edge processing algorithm research of image retrieval. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Main hue robert algorithm Projection histogram Canny edge algorithm Image retrieval

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Tracking Target Identification Model Based on Multiple algorithms

Tracking Target Identification Model Based on Multiple Algor...

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第四届智能结构与振动控制国际会议

作者： Ma Ding Jilin University

In view of current situation of bad data synchronization,image blurring and tracking station stability in tracking target identification,a kind of tracking target identification model based on multiple algorithms was put forward,firstly establishing the image degradation model,using the wavelet algorithm for image preprocessing,doing image edge segmentation by using robert algorithm after pretreatment,then using the maximum variance threshold method for image threshold segmentation,then extracting target features from the segmented image,and finally using the ABS algorithm to finish target *** proved the proposed model practical and effective.

关键词： robert algorithm Image Degradation Largest Variance Threshold Method ABS algorithm Target Tracking

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Tracking Target Identification Model Based on Multiple algorithms

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International Journal of Technology Management 2013年第2期 68-72页

作者： Ma Ding Jilin University Changchun Jilin130012

In view of current situation of bad data synchronization, image blurring and tracking station stability in tracking target identification, a kind of tracking target identification model based on multiple algorithms was put forward, firstly establishing the image degradation model, using the wavelet algorithm for image preprocessing, doing image edge segmentation by using robert algorithm after pretreatment, then using the maximum variance threshold method for image threshold segmentation, then extracting target features from the segmented image, and finally using the ABS algorithm to finish target tracking. Experiments proved the proposed model practical and effective.

关键词： robert algorithm image degradation largest variance threshold method ABS algorithm target tracking

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