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3D-terrain construction algorithm based on Iterated Function Systems

3D-terrain construction algorithm based on Iterated Function...

引用

international symposium on multispectral image processing and pattern recognition

作者： Chen, H Jian, L Huazhong Univ Sci & Technol Elect & Informat Engn Dept State Educ Commiss Lab Image Proc & Intelligent C Wuhan 430074 Peoples R China

ISBN: (纸本)0819430064

A novel 3D-terrain construction algorithm is represented in this paper. Traditional construction algorithms based on terrain self-similitude often ignore its structural features, This algorithm not only guarantees the integral and local self-similitude of constructed terrain, but also describes its structural features realistically. Iterated function system is used to construct terrain structural lines first. Then heights are got and adjusted by washing-out algorithm. Structural feature of constructed 3D-terrain with this algorithm is conforming to the natural scenes, so it is more similar to natural scenes.

关键词： 3D-terrain construction terrain structural lines fractal Iterated Function System affine transform

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Study on the typed association of objects by structured quotient set for image analysis

Study on the typed association of objects by structured quot...

引用

international symposium on multispectral image processing and pattern recognition

作者： Li, DR Guan, ZQ Wuhan Tech Univ Surveying & Mapping Natl Lab Informat Engn Surveying Mapping & Remote Wuhan 430070 Peoples R China

ISBN: (纸本)0819430064

The typed association of objects for image analysis via structured quotient set is presented in this paper. From a landscape point of view, the elements of spatial structure are organized into some distinct patches, which are the smallest homogeneous units of landscape at the spatial scale we can see. The main advantage of such patches is that it gives us the typed association of objects. In order to remark the relationship between the components of an image corresponding to the patch, the notion of diffusion-concentration is introduced, whose practical meaning in the patch is to join a pixel to one another and determine the weights of the links. Another research goal is to explore the properties of variogram function, from which the weights of neurons for growing collection of the typed association of objects by quotient set can be derived.

关键词： structured quotient set the typed association of objects image analysis the patch variogram function diffusion-concentration neuron model fluid properties the weight of neuron

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Chromaffin cell calcium signal and morphology study based on multispectral images

Chromaffin cell calcium signal and morphology study based on...

引用

international symposium on multispectral image processing and pattern recognition

作者： Wu, HX Wei, SH Qu, AL Zhou, ZA Huazhong Univ Sci & Technol Inst Biophys & Biochem Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)0819430064

Increasing or decreasing the internal calcium concentration can promote or prevent programmed cell death (PCD). We therefore performed a Ca2+ imaging study using Ca2+ indicator dye fura-2 and a sensitive cooled-CCD camera with a 12 bit resolution. Monochromatic beams of light with a wavelength of 345,380nm were isolated from light emitted by a xenon lamp using a monochromator. The concentration of free calcium can be directly calculated from the ratio of two fluorescence values taken at two appropriately selected wavelength. Fluorescent light emitted from the cells was capture using a camera system. The cell morphology study is based on multispectral scanning, with smear images provided as three monochromatic images by illumination with light of 610,535 and 470nm wavelengths. The nuclear characteristic parameters extracted from individual nuclei by system are nuclear area,nuclear diameter,nuclear density vector. The results of the restoration of images and the performance of a primitive logic for the detection of nuclei with PCD proved the usefulness of the system and the advantages of using multispactral images in the restoration and detection procedures.

关键词： calcium image calcium concentration cell apoptosis multispectral image

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a-Si TFT/PIN two-dimensional image sensor

a-Si TFT/PIN two-dimensional image sensor

引用

international symposium on multispectral image processing and pattern recognition

作者： Zhao, Y Li, J Li, JF Xiong, SZ Nankai Univ Inst Photoelect Opt Informat Sci Lab Tianjin 300071 Peoples R China

ISBN: (纸本)0819430064

Basing on the analysis and simulation of a-Si TFT/PIN coupled unit, we obtained optimized design for structure parameters of detecting unit and material parameters suitable for detecting spectrum. In order to satisfy! the low-temperature process of a-Si TFT and a-Si PIN, polyimide (PI) film has been used as the insulator in the TFT/PIN array. We have investigated process compatibility between a-Si TFT and a-Si PIN preparation and fine pattern for low-temperature PI film. As a result, we obtained two-dimensional a-Si TFT/PIN image sensor (6x12 pixels) which has signal readout and sensor function. We tested and analyzed its static characteristic. The results indicate that the characteristics of PIN photodiode and TFT switch are better, and the performance for illumination response of the two-dimensional image sensor is good. We propose to apply the image sensor into neural network system in order to decrease cross-coupling between pixels and increase parallel processing rate.

关键词： amorphous silicon (a-Si) thin film transistor (TFT) PIN junction a-Si PIN photodiode a-Si TFT/PIN coupled unit two-dimension image sensor

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Automatic segmentation and classification of human brain image based on a fuzzy brain atlas

Automatic segmentation and classification of human brain ima...

引用

international symposium on multispectral image processing and pattern recognition

作者： Tan, O Jia, CG Duan, HL Lu, WX Zhejiang Univ Inst Biomed Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)0819430064

It is difficult to automatically segment and classify tomograph images of actual patient's brain. Therefore, many interactive operations are performed. It is very time consuming and its precision is much depended on the user. In this paper, we combine a brain atlas and 3D fuzzy image segmentation into the image matching. It can not only find our the precise boundary of anatomic structure but also save time of the interactive operation. At first, the anatomic information of atlas is mapped into tomograph images of actual brain with a two step image matching method. Then, based on the mapping result, a 3D fuzzy structure mask is calculated. With the fuzzy information of anatomic structure, a new method of fuzzy clustering based on genetic algorithm is used to segment and classify the real brain image. There is only a minimum requirement of interaction in the whole process, including removing the skull and selecting some intrinsic point pairs.

关键词： automatic image segmentation image matching brain atlas shape factor genetic algorithm

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Applied study on detection of head-slump under high G level by computer image processing

Applied study on detection of head-slump under high G level ...

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international symposium on multispectral image processing and pattern recognition

作者： Meng, H Zhang, AM Che, MS Xue, YY Qiu, YB Li, WB Wei, M Inst Space Medicoengn Beijing 100094 Peoples R China

ISBN: (纸本)0819430064

With the rapid development of aerospace technique, the performance of advanced fighter aircraft becomes improved. These aircrafts can perform beyond the acceleration tolerance limits of human. G-induced loss of consciousness (G-LOC)has become Air-Force's a serious human factor problem. It remains a killer of both men and machines. Various G-LOC research efforts all over the;world about the principle and monitoring system have been initiated. Nowadays, in order to detect G-LOC, under a special centrifuge training facility environment, we studied the methods of testing subject's eye blink, head-slump and grip strength measuring force stick and control ability. This article only presents the method for real-time detection of head-attitude, recording head video image any analysis of moving track by video image. We have developed image processing, which is: more advanced than infrared technique and laser technique for more information. This method is simple and avoids the affect of infrared ray to partial physiological sensors.

关键词： image processing G-LOC head-slump

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3D localizer for ultrasound endoscope by outside-body markers

3D localizer for ultrasound endoscope by outside-body marker...

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international symposium on multispectral image processing and pattern recognition

作者： Chen, X Tamura, S Naito, H Fuzhou Univ Radio Dept Fujian 350002 Peoples R China

ISBN: (纸本)0819430064

In order to reduce the X-ray dose in the endoscopic examination and therapy, we are developing an inside-body navigation system which can give and visualize the direct 3D position of the tip and trace of the endoscope instead of the conventional 2D X-ray fluoroscopy. In this paper, we describe a method of identifying 3D position and direction of ultrasound scanning probe inserted into inside of the body, which gives endoscopic images;We use marker transducers placed on surface of the body, which transmit pulses synchronized to the ultrasound scanner. The method of measuring position (direction and distance between scanning probe inside of body and transducer outside of body) of marker on the scanned image itself obtained with ultrasound endoscope by using adaptive threshold and robust algorithm is described. Further, we give some results of confirmation experiments, and discuss them.

关键词： ultrasound image position marker 3D localization endoscope inside-body navigation

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Detection of sea surface small targets in infrared images based on multi-level filters

Detection of sea surface small targets in infrared images ba...

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international symposium on multispectral image processing and pattern recognition

作者： Zuo, Z Zhang, TX Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Educ Commiss Lab Image Proc & Intelligent C Wuhan 430074 Peoples R China

ISBN: (纸本)0819430064

This paper is concerned with the research work about small target detection(1) in heavy noise background infrared images. In the studied sea surface infrared images, ship objects are rather dim in dark sea background. There also exist scan line disturbance and clutter noises which increase the difficulties of exact detection. On one hand, dim objects must be detected from dark background. On the other hand, the small targets must be distinguished from clutters. Through the analysis of the targets and background features, we find the targets are more continuous then clutters and have sharper edges(2). Their sizes are larger too. These indicate that their frequency features are different from clutters. In frequency domain, the targets mainly lie in the low and middle frequency region compared with clutters. We apply low pass filters (LPF) to the images. The space sizes-of LPF are carefully chosen according to the target sizes. To obtain good result, multi-level filters are considered. We subtract the filtered image from the original image, then use a contrast-based method to detect the objects. Our experiments show that the algorithm is excellent for target detection and robust to noises.

关键词： target detection infrared imaging multi-level filter

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Adaptive feature enhancement of retinal vascular images using wavelet-based multiresolution analysis

Adaptive feature enhancement of retinal vascular images usin...

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international symposium on multispectral image processing and pattern recognition

作者： Xu, L Zheng, XX Yu, YJ Zhang, HY Zhejiang Univ Dept Life Sci & Biomed Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)0819430064

The goal of this research is to put forward a high efficient method that can generate clinically useful images with improved visualization of retinal vascular image features. Methods: 1) Multiresolution decomposition of an original retinal image into subband images via 2-D wavelet transformation(WT). 2) At s = 2(1), the LLMMSE4 estimate algorithm that is applicable for nonstationary image model is used in wavelet domain to reduce noise. At s = 2(2), soft thresholding wavelet shrinkage technique is used in wavelet domain to reduce noise. At s greater than or equal to 2(3), semisoft wavelet shrinkage technique is applied in wavelet domain to further reduce noise. 3) Opening of a gray-scale A(1)(d) (f) over cap subband image by a gray-scale circular structuring element can generate a background image. Enhancement is achieved by using this opened image as a unsharp mask and then applying morphological spatial filtering technique to enhance vessel contrast. 4) Reconstruction of retinal image from modified subband images via inverse 2-DWT, Experimental results show that the proposed approach is able to adaptively enhance subtle vascular features, suppress noise and improve global visualization of retinal vascular images.

关键词： multiresolution analysis retinal vascular images wavelets image enhancement

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Detecting multi-colored object in image by content

Detecting multi-colored object in image by content

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international symposium on multispectral image processing and pattern recognition

作者： Liu, YH Guo, SM Ozawa, SJ Keio Univ Fac Sci & Technol Dept Elect Engn Ozawa LabKohoku Ku Yokohama Kanagawa 2230061 Japan

ISBN: (纸本)0819430064

Efficient content-based retrieval of complex image is a challenging task since the queried object may appear in various scale, rotation and orientation with a wide variety of background colors and forms. We propose a novel method of detecting multi-colored object in image by content. Color component and spatial relationship are two important contents of image. With color feature based on hue histogram of HSV color space, we try to combine similar color pixels to a more homogeneous color component by adopting multilevel thresholding method based on the fourth central moment. And then, we use the extended color adjacency graph(ECAG) to describe a multi-colored object. ECAG consists of a set of nodes and two set of edges. Each node represents a single color component of multi-colored object, while edges are divided into two classes: edges representing adjacency between similar color components and those between different color components. By investigating whether ECAG of object is the subgraph of ECAG of an image, we can detect whether the similar object exists in the image. Experimental results show this representation of object to be invariant to scale and rotation.

关键词： images target image Color image color feature complex mapping central moment color spaces dimensional relationship

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