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Object tracking in infrared imagery

Object tracking in infrared imagery

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Chen, H Tang, M Lu, HQ Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China

ISBN: (纸本)0819451819

In this paper, we propose a robust approach for object tracking in infrared imagery. Our method mainly applies the image intensity histogram distribution and intensity projection distributions and computes a likelihood measure between the candidate and the model distributions by evaluating the Mean Shift Vector. In addition, Gabor filters are applied here to enhance the contrast of the object with the background, and then the scale of the track window can be selected according to the variable object size. Our method greatly improves the accuracy of object tracking and can update the model frame by frame, which means the object model does not necessarily depend on that of the first frame. The robustness of our method is supported by several different infrared imagery sequences.

关键词： object tracking mean-shift intensity projection gabor filter

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Adaptive bits truncation and compensation method for image EZW coding

Adaptive bits truncation and compensation method for image E...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Dai, SK Zhu, GX Wang, Y Huazhong Univ Sci & Technol Dept Elect Elect & Informat Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)0819451819

The embedded zero-tree wavelet algorithm (EZW) is widely adopted to compress wavelet coefficients of images with the property that the bits stream can be truncated and produced anywhere. The lower bit plane of the wavelet coefficients is verified to be less important than the higher bit plane. Therefore it can be truncated and not encoded. Based on experiments, a generalized function, which can provide a glancing guide for EZW encoder to intelligently decide the number of low bit plane to be truncated, is deduced in this paper. In the EZW decoder, a simple method is presented to compensate for the truncated wavelet coefficients, and finally it can surprisingly enhance the quality of reconstructed image and spend scarcely any additional cost at the same time.

关键词： wavelet transformation EZW code bits truncation wavelet coefficient compensation

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A SVM-based classification selection algorithm for the automatic selection of guide star

A SVM-based classification selection algorithm for the autom...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zheng, S Xiong, CY Wu, WR Tian, JW Liu, J Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Educ Commiss Key Lab Image Proc & Intellige Wuhan 430074 Peoples R China

ISBN: (纸本)0819451819

A new general method of the automatic selection of guide star, which based on a new dynamic Visual Magnitude Threshold (VMT) hyper-plane and the Support Vector Machines (SVM), is introduced. The high dimensional and nonlinear VMT plane can be easily obtained by using the SVM, then the guide star sets are generated by the SVM classifier. The experiment results demonstrate that the catalog obtained by the proposed algorithm has a lot of advantages including, fewer total numbers, smaller catalog size and better distribution uniformity.

关键词： guide star catalog support vector machines dynamic visual magnitude threshold classification selection algorithm

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recognition of wheat varieties by image analysis

Recognition of wheat varieties by image analysis

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Yang, HW Zhou, ZM Zhao, RY Wang, B Zhengzhou Informat Engn Univ Dept Informat Sci Zhengzhou 450002 Peoples R China

ISBN: (纸本)0819451819

The objective of this paper is to develop a rapid, objective, and easy method for recognizing wheat varieties, which is important for breeding, milling and marketing. The method can be used in place of the existing procedures to remove subjectivity from wheat variety recognition. In contrast to previous work, most of which has focused on wheat morphological characteristics, the features utilized in this paper are based mainly on kernel color. Varietal classification is performed by using Support Vector Machines (SVMs) method. More than 96% correct recognition rates are achieved with bulk samples involving 16 varieties representing a wide range of wheat varieties, wheat class, and kernel types. The proportion of single wheat kernels correctly recognized ranges from 87% to 93%. The results were encouraging since the method proposed here can be easily conducted in routine inspection.

关键词： wheat variety image analysis image histogram illumination invariance Support Vector Machines wheat quality

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An Eliminated Fractal Compression Algorithm by Variance

An Eliminated Fractal Compression Algorithm by Variance

引用

third international symposium on multispectral image processing and pattern recognition

作者： Feng, Yan Li Yu, Zheng Wei Fan, Hui China Univ. of Mining Technology Beijing 100083 China Shandong Inst. of Bus./Technology Shandong Yantai 264005 China

A new fast fractal encoding algorithm for the processes of searching and matching is proposed in fractal image compression in this paper. The number of domain blocks searched to find the best match for each range block and corresponding encoding time are much reduced by elimination domain blocks not searching using the current minimum distortion and variance difference between the range block and domain block. The algorithm produces a completely identical fractal encoding to that of the conventional full search in reduced time.

关键词： image compression

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Shape analysis and detection based on morphological pattern spectrum

Shape analysis and detection based on morphological pattern ...

引用

third international symposium on multispectral image processing and pattern recognition

作者： Duan, Shan Mei, Jian-Xin Qin, Qian-Qing Natl. Lab. Info. Eng. Surv. M./R.S. Wuhan University 129 Luoyu Road Wuhan 430079 China College of Computer Science S.-Ctrl. Univ. for Nationalities 5 Minyuan Road Wuhan 430074 China

Morphological pattern spectrum is a useful shape description tool for quantifying the geometric shape feature of both binary and gray images. In this paper, a general frame of pattern spectrum is developed for both continuous-scale and discrete-scale based on the efficient and reduced redundancy multiscale image representation. A discussion for the basic properties of generalized pattern spectrum is presented in the paper. Algorithms for shape recognition and shape classification using continuous and discrete-scale pattern spectrum of images are proposed in Euclidian space.

关键词： pattern matching

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City Modeling by videogrammetry based on three video image sequences strips taken from helicopter

City Modeling by videogrammetry based on three video image s...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Wu, J Zhang, ZX Zhang, JQ Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

Interest in 3D city Modeling and quickly updating have significantly raised in the past years. In this paper, an economically viable solution for city modeling based on strict digital photogrammetric theory is proposed. Two oblique image sequences for buildings' walls and one vertical image sequence for building's roof, acquired by digital video camera on helicopter, coarse 2D vector data of buildings and LIDAR data are used as sources of information. Camera parameters of each image are acquired by automatic aerial triangulation technique for high overlapping image sequence. By matching every space edge of the building to its image line, the building is accurately reconstructed. The visualization of 3D city model is realized based on the reconstructed buildings with fine textures superimposed on DSM and orthoimage.

关键词： city modeling videogrammetry image sequence automatic aerial triangulation texture mapping

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Segmentation of FLIR images by genetic algorithm and fuzzy entropy

Segmentation of FLIR images by genetic algorithm and fuzzy e...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Tao, WB Ju, C Yue, L Tian, JW Jian, L State Key Lab Image Proc & Intelligence Control Wuhan 430074 Peoples R China

ISBN: (纸本)0819451819

In this paper a FLIR image segmentation algorithm based on genetic algorithm and fuzzy set theory was presented. image processing has to deal with many ambiguous situations. Fuzzy set theory is a useful mathematical tool for handling the ambiguity or uncertainty. A fuzzy entropy is a functional on fuzzy sets that becomes smaller when the sharpness of its argument fuzzy set is improved. The paper defined different member function for the object and background of the image to transform the image into fuzzy domain and chose Z-function and S-function as the membership functions for the object and background of the image respectively and threshold the image into the object and background by maximizing the fuzzy entropy. The procedure for finding combination of a, b and c is implemented by genetic algorithm with appropriate coding method to avoid useless chromosomes. The experiment results show that our proposed method gives better performance than other general methods with good real-time by using genetic algorithm.

关键词： image segmentation genetic algorithm fuzzy entropy FLIR image

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Wavelet-based fractal image compression

Wavelet-based fractal image compression

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, Y Zhai, GT Shandong Univ Sch Informat Sci & Engn Shandong 250100 Peoples R China

ISBN: (纸本)0819451819

In this paper, a wavelet-based fractal image coding algorithm is proposed. The conventional fractal image coding in spatial domain is extended to wavelet domain by taking advantage of the self-similarities among different wavelet subtrees through proper affine transformation.. This method is based on the combination of the theory of multi-resolution analysis with iterated function systems by introducing some effective block-classification schemes. The original image is first transformed into wavelet domain in which fractal compression and arithmetic coding are performed. By classifying D blocks and R blocks set in this domain, the approach can significantly reduce the computation complexity and encoding time. Meanwhile, the hybrid image compression algorithm obtains much better coding performance in terms of PSNR with error modification. This is the main advantage of this method. A set of experiments and simulations show the potentials of using these classification techniques in wavelet domain for further improvements.

关键词： fractal coding wavelet transform image compression block classification

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Projection pursuit and its applications in hyperspectral imagery analysis

Projection pursuit and its applications in hyperspectral ima...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Yi, YH Yu, CH Qin, QQ Gong, JY Wuhan Univ Sch Journalism & Commun Wuhan 430072 Peoples R China

ISBN: (纸本)0819451819

Projection Pursuit is applied to explore the potential structures and characters of the multi-dimension data through projecting the high dimensional data set into a low dimensional data space while retaining the information of interest. For the application of hyperspectral images analysis, the detection of small man-made objects is very difficult. But the man-made object can be viewed as anomalies in an unknown environment due to the fact that their spectral is different from those of the large unknown background. This paper presents a method to detect man-made objects of hyperspectral images based on Projection Pursuit. Also evolutional algorithm was developed in order to find the optimal projection index.

关键词： projection pursuit hyperspectral image objection detect

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