中国科学院机构知识库网格系统: 检索

Structured Sparse Coding With the Group Log-regularizer for Key Frame Extraction 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1818-1830
作者: Zhenni Li; Yujie Li; Benying Tan; Shuxue Ding; Shengli Xie

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收藏 | 浏览/下载：61/0 | 提交时间：2022/09/08

Difference of convex algorithm (DCA) group log-regularizer key frame extraction structured sparse coding

Image Encryption Application of Chaotic Sequences Incorporating Quantum Keys 期刊论文 OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 123-138
作者: Bin Ge; Hai-Bo Luo

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收藏 | 浏览/下载：14/0 | 提交时间：2021/02/22

Logistic chaotic system quantum key nonlinear operation sequence performance image encryption algorithm.

Numerical simulations for adaptive optics system (EI CONFERENCE) 会议论文 OAI收割
31st Chinese Control Conference, CCC 2012, July 25, 2012 - July 27, 2012, Hefei, China
作者: Wang X.-J.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

The simulation methods for the adaptive optics (AO) system are studied. Based on the global structure of the AO system the key principles for each module are first discussed systematically including the wave propagation principles wave-front representation coordinates transformation between the coordinates considered wave-front reconstruction algorithm and DM principles. The purpose of these discussions is to establish the theoretical foundations for the numerical simulations of the AO system. Then the simulation steps are described in detail and a series of numerical simulation results are given which validate the effectiveness of our simulation work. 2012 Chinese Assoc of Automati.

Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 OAI收割
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
作者: Liu Y.; Liu Y.; Liu Y.

收藏 | 浏览/下载：37/0 | 提交时间：2013/03/25

Image registration is a key technique in pattern recognition and image processing and it is widely used in many application areas such as computer vision remote sensing image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then the well match points are used to estimate the best affine transform parameters by least squares minimization. At last the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.

关键点检测的线要素综合算法 期刊论文 OAI收割
中国图象图形学报, 2012, 卷号: 17, 期号: 2, 页码: 241-248
黄志坚; 张金芳; 徐帆江

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收藏 | 浏览/下载：13/0 | 提交时间：2012/11/12

line generalization corner detection adaptive threshold key point detection Li-Openshaw algorithm

Efficient rate control technique for CCSDS image encoding (EI CONFERENCE) 会议论文 OAI收割
IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011, August 20, 2011 - August 21, 2011, Wuhan, China
Jin L.

收藏 | 浏览/下载：95/0 | 提交时间：2013/03/25

For the limitation of data transmission bandwidth and real time transmission demand generally image compression is required to implement the precise and flexible rate control algorithm. Rate control is an important issue in the image compression field. This paper considers the problem of rate allocation to each encoded segment for CCSDS image compression. One straightforward method is to allocate an equal amount of rate to each segment based on the average of the total number of compressed bytes. The obvious drawback of this method is that different segment will be reconstructed to different quality so the overall quality of the reconstructed image will not be optimized. For the shortage of the original rate control method as to improve the overall quality of the reconstructed image an improved rate control algorithm is proposed for CCSDS image encoding. The key component of the proposed rate control method is the appropriate rate allocation. Experiments on the test images show that the PSNR can be increased at about 0.3dB on average compared to the original algorithm. Therefore experimental results confirm the effectiveness of the proposed algorithm in terms of objective evaluation and the rate-distortion performance of the reconstructed image is improved. 2011 IEEE.

DWT-based digital image watermarking algorithm (EI CONFERENCE) 会议论文 OAI收割
IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011, August 16, 2011 - August 18, 2011, Chengdu, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

This paper presents a digital watermarking algorithm based on the DWT coefficients. This algorithm does not change any information of the original image but combines the information of low frequency DWT coefficients and the watermark image. The combination is the key which is used to extract the watermark. When we need to extract the watermark we can obtain it by divide the key. Because the algorithm does not change any information of the original image it will not affect the quality of the original image. Experimental results show that the proposed algorithm is robust and secure against a wide range of image processing operations. 2011 IEEE.

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：111/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

视频运动分析与事件识别 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者: 李莉

收藏 | 浏览/下载：120/0 | 提交时间：2015/09/02

视频结构分析镜头检测关键帧提取视频事件识别镜头分类特征融合主导集聚类复发注意机制兴趣点时空兴趣点 video structure analysis shot detection key frame extraction video event recognition shot classification feature fusion dominant set clustering algorithm attention machanism keypoints spatio-temporal interest points

A new method of target recognition based on rough set and support vector machine (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China
作者: He X.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership so that some samples can be chosen by class membership to be trained. After pre-treatment an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.