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Arithmetic of five-part of leukocytes based on image process

Arithmetic of five-part of leukocytes based on image process

引用

MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

作者： Yian, Li Guoyou, Wang Jianguo, Liu Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology State Key Lab. for Multispectral Information Processing Technologies Wuhan China

ISBN: (纸本)9780819469533

This paper apply computer image processing and pattern recognizition methods to solve the problem of auto classification and counting of leukocytes (white blood cell) in peripheral blood.. In this paper a new leukocyte arithmetic of five-part based on image process and pattern recognizition is presented, which relized auto classify of leukocyte. The first aim is detect the leukocytes. A major requirement of the whole system is to classify these leukocytes to 5 classes. This arithmetic bases on notability mechanism of eyes, process image by sequence, divides up leukocytes and pick up characters. Using the prior kwonledge of cells and image shape information, this arithmetic divides up the probable shape of Leukocyte first by a new method based on Chamfer and then gets the detail characters. It can reduce the mistake judge rate and the calculation greatly. It also has the learning fuction. This paper also presented a new measurement of karyon's shape which can provide more accurate information. This algorithm has great application value in clinical blood test.

关键词： Medical imaging

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Fixed-point B. G. Lee IDCT without multiplication

Fixed-point B. G. Lee IDCT without multiplication

引用

MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

作者： Zhu, P.P. Liu, J.G. Dai, S.K. State Key Lab. for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469533

An improved modified approach to compute the inverse discrete cosine transform (IDCT) is proposed based on B. G. Lee algorithm. We replace the multiplication operator in original B. G. Lee algorithm with addition and shift operators and looking-up table to implement the fix-point computation. Due to the absence of the multiplication operator, this modified algorithm will take less time to complete the same computation.

关键词： Discrete cosine transforms

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Real time peaks extraction

Real time peaks extraction

引用

MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Xiao, Zhou Ruolan, Hu Guilin, Zhang State Key Lab for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Peaks extraction is a kind of post-process in many image application or vision tasks that can be used for finding the optimum solution in the solution space. In this paper a real time method is proposed. A candidate queue is first build for containing highest peaks in the image in ascending order. Then the image is scanned in sequence. At each scanning position every candidate in the queue is updated respectively by some criterions given in this paper. After the image is scanned over, the highest peaks in the image is achieved in the queue. All the process can be accomplished by logic circuit, so the method is very suitable for hardware system such as FPGA and so on.

关键词： Feature extraction

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Computational simulation of second order motion perception

Computational simulation of second order motion perception

引用

MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Bin, Sun Nong, Sang State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Physiological studies have provided clear evidence of neurons sensitive to second-order motion, and first-order motion mechanisms are blind to second-order motion. In this paper, we propose a computational simulation of second order motion perception, which bases on energy-based detector with a preceded nonlinear process called texture grabber. Generally, a texture grabber consists of a linear spatial filter, a linear temporal filter and a nonlinear transform, such as full-wave rectification. Here Difference of Gaussians (DoG) functions are used as the spatial filters, and Difference of Gammas (DoGamma) functions are chosen as the temporal filters. A series of experiments are computed and the results confirm that our motion perception system detects second-order motion correctly.

关键词： Motion estimation

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Moments based fast fourier transform without multiplications

Moments based fast fourier transform without multiplications

引用

MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

作者： Liu, Zhenbing Wang, Guoyou Liu, Jianguo State Key Lab. for Multi-spectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469533

Discrete Fourier transform (DFT) is an important tool in digital signal processing. We have proposed an approach to performing DFT via linear sums of discrete moments. In this paper, based on the previous work, we present a new method of performing fast Fourier transform without multiplications by performing appropriate bit operations and shift operations in binary system, which can be implemented by integer additions of fixed points. The systolic implementation is a demonstration of the locality of dataflow in the algorithms and hence it implies an easy and potential hardware/VLSI realization. The approach is also applicable to DFT inverses.

关键词： Discrete Fourier transforms

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Accurate dynamic scene model with double-layer Gaussian mixture

Accurate dynamic scene model with double-layer Gaussian mixt...

引用

MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Hong, Yang Yihua, Tan Jinwen, Tian Jian, Liu State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Gaussian mixture model is a popular method to model dynamic scenes viewed by a fixed camera. However, we found that it is not a trivial problem for each component of Gaussian mixture to learn the accurate parameters for complex pixels. Furthermore, traditional method of Gaussian mixture has to make a tradeoff between system stability and convergence rate. We developed a mechanism of double-layer Gaussian mixture model for moving object detection from dynamic scenes, which can improve the convergence rate without compromising the system stability. Additionally, temporal consistency of variances was taken into account to alleviate camouflage problems in the process of detection.

关键词： Object recognition

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Intensity-based correlation for heterogeneous images scene matching

Intensity-based correlation for heterogeneous images scene m...

引用

MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Sheng, Zhong Huimin, Cao Tianxu, Zhang State Key Lab. for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Downward looking scene matching is an important technique of the aircraft automation guidance. To solve the heterogeneous images scene matching problem, we present two effective methods based on intensity-based correlation in this paper. One is to search the real match position based on the feature of the peak on the correlation surface. We propose a criterion to search the proper matching. The other is to use a non-linear filter to pre-process the images, which reduces the influence of ambient lighting while keeping the necessary image details since the contour of the scene is the stable and unchanged feature. Also, we use a Fourier analysis to explain the contribution of different frequency spectrum in the correlation. By using this frequency information, we propose a simpler kernel filter method based on pre-process, which has the similar performance with non-linear filter pre-process but has less computation complexity. This simple kernel is more suitable for the embedded DSP real-time application.

关键词： pattern matching

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A boosting discriminative model for moving cast shadow detection

引用

6th International Conference on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2007

作者： Yufei, Zha Ying, Chu Duyan, Bi Signal and Information Processing Lab. Engineering College of Air Force Engineering University xi'an China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China

ISBN: (纸本)9783540741954

Moving cast shadow causes serious problem while segmenting and extracting foreground from image sequences, due to the misclassification of moving shadow as foreground. This paper proposes a boosting discriminative model for moving cast shadow detection. Firstly, color invariance subspace and texture invariance subspace are obtained by the color and texture difference between current image and background image;then, boosting is selected based on theses subspaces to discriminate cast shadow from moving objects;finally, temporal and spatial coherence of shadow and foreground is employed on Discriminative Random Fields for accurate image segmentation through graph cut. Results show that the proposed method excels classical method both in indoor and outdoor scene. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Image analysis

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LS-SVM based dim and small infrared target dualband fusion detection

LS-SVM based dim and small infrared target dualband fusion d...

引用

2nd International Conference on Space Information Technology

作者： Sun Yuqiu Li Shalan Tian Jinwen Liu Jian Yangtze Univ Sch Informat & Math Jinzhou 434023 Hubei Peoples R China Huazhong Univ Sci & Technol Image Processing & Intelligence Control Key Lab State Educ Minist Inst Pattern Recognition & Artificial Intelligece Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469601

Aiming at the characters of weak and small targets in infrared images, an algorithm based on Least Squares Support Vector Machines (LS-SVM) is presented to fuse long-wave and mid-wave infrared images and detect targets. Image intensity surfaces for the neighborhood of every pixel of the original long-wave infrared image and mid-wave infrared are well-fitted by mapped LS-SVM respectively. And long-wave and mid-wave infrared image gradient images are obtained by LS-SVM based on radial basis kernels function. Fusion rule is set up according to the features of gradient images. At last, segment fused image and targets can be detected with contrast threshold. Compared with wavelet fusion detection algorithm and morphological fusion detection algorithm, when a target is affected by baits, the experimental results demonstrate that the proposed approach in the paper based on LS-SVM to fuse and detect weak and small target is reliable and efficient.

关键词： least squares support vector infrared image fusion detection

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Reduced memory zerotree envelop coding for wavelet image

Reduced memory zerotree envelop coding for wavelet image

引用

MIPPR 2007: Automatic Target recognition and Image Analysis;and Multispectral Image Acquisition

作者： Wentao, Wang Guoyou, Wang Jianguo, Liu State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China College of Computer Science South-Central University for Nationalities 708 Minyuan Road Wuhan 430074 China

ISBN: (纸本)9780819469502

In this paper, we propose a new image codec, which called embedded zerotree wavelet coefficients envelop coding (EZWCEC). The coefficients envelop is characterized by describing the global tendency of the significant wavelet coefficients. Based on the empirical analysis and experimental results, our EZWCEC algorithm restores the trend of the significant wavelet coefficients and estimates the magnitude of some insignificant coefficients on the decoder. Unlike other zerotree coding algorithms such as Said and Pearlman's SPIHT using three lists, EZWCEC only uses two lists during encoding and decoding. So the memory requirement for the hardware implementation is reduced significantly. Although PSNR values for EZWCEC are lower than SPIHT's and JPEG2000's, our experiment results have shown that EZWCEC can dramatically improve the visual quality of reconstructed at low bit rates (e.g., below 0.1bpp).

关键词： Image coding

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