Visualization of the FEM Analysis Data of 3D on the Cut Plane

The colored patterns on arbitrary cut plane is an important method in 3D data-field visualization of finite element.By using the technology of the Object-Oriented Programming and the method of scan-line,the colored patterns on arbitrary cut plane are given.The example by the OPENGL of Visual C++ R6 can support the theory satisfactorily.     

A Medical Image Quantization Method Suited for PACS

Image compression is very important in picture archiving and communication system(PACS). The author studied the statistical distribution of image wavelet subimage coefficients and concluded that the distribution of wavelet subimage coefficients is similar to that of Laplasian distribution. On the other hand, in image reconstruction, the coefficient with different amplitude owns different weight, and different accuracy can be applied to different coefficients according to their different weight. Then, the author has designed a image quantization encoding scheme for PACS. In this scheme, they selected the sample-standard-deviation of coefficients in every subimage as the quantization threshold, and accurately encoded those coefficients with higher weight. Also, this algorithm utilized the visual character of human. The test has proved that the main advantages of this method are the simplicity in computing and predictable encoded coefficients, and a high compression efficiency can obtain too.     

Design of Vision System Based on Service Robot

A vision system based on the service robot is involved. In the system, picture signal is acquired by the picture sensor OV7635. Frame memory AL422B is used as data buffer memory, while CPLD controlled the time order DSP performed. In the software system of image processing, to accomplish color image segmentation and recognition, the threshold vector judgment and improved seed-fill algorithm is introduced, and the image geometric moment is calculated during the segmenting. In order to achieve a vision servo system which composed of image-based feedback and adaptive compensation, the deduced matrix-based Jacobian from the image moment is taken as image feature. Adopted the TFT LCD is adopted to straightly disolav the result of vision recognition and vision tracing.     

A New Solution to Reduce Blocking Artifacts Introduced by Standard Fractal Methods

Fractal image coding techniques usually partition the input image into small range blocks. This artificially introduces boundaries into the image resulting in the unpleasant blocking artifacts in the decoded images especially at high compression rate. Because the effect is especially responsible for the restrictions of the block-based coders, the solutions must be sought to reduce this blockiness. Recently two possible schemes have been proposed by other researchers: One may try to use overlapping blocks in the fractal transform, and the other to employ the combined fractal wavelet approach. An alternative solution is proposed, which employs the bilinear interpolation techniques and the resolution independence of fractal coding, in the sense that an image can be decoded at higher or lower resolutions than the original. Experiments show that the proposed scheme can eliminate the blocking artifacts.     

Representation of Uncertain Area in Image Based on Cloud-model

Aiming at the problem of representation of regions in the process of image processing, the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model. In two-dimension universe of discourse of image, the linguistic term of the polygons, which have uncertain edge, can be accomplished by relaxation iteration. The linguistic term of the polygons can be considered Cloud-core of Cloud-model. Based on the characteristics of pixels of transition region of fuzzy edge, Object-clouds of polygons can be constructed by Backward-cloud-generator. So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud. Experiments testify the method. It enriches the cloud theory, and proposes a new idea for image comprehending and analyzing, especially remote sensing image.     

Detecting Technology of Cabel Surface Defect Based on DSP and Image Recognition

The damage of bridge cable directly hazards the normal use of bridge and the safety of people. The paper discussed the signal acquisition and detection system which takes embedded DSP processor as core technology, combined with CCD, video decode chip, SDRAM, FLASH ROM, and established the fast measuring algorithm of the surface corrosion and damage, which includes deteminating the processing region, improving medium filter, sobel edge detection and dynamic threshold segment, close operation of morphology, computing defect area and saving. The experimental resuits show that this method implemented the real-time, non-contact and intelligence detecting of cable surface defect and gives the specifications of the system.     

绵茵陈中绿原酸的提取工艺研究

【研究目的】研究并优化乙醇提取绵茵陈中绿原酸的最佳操作参数;【方法】以绵茵陈为原料,通过单因素试验、正交试验和方差分析确定最佳提取工艺;【结果】结果表明:乙醇提取绵茵陈中绿原酸的效果较好;确定的最佳工艺参数乙醇浓度为60%、料液比1:25、提取温度60℃、提取时间1.5h;【结论】采用60%乙醇可以很好提取绵茵陈中的绿原酸。     

一种快速判别梨果梗的方法

果梗完好与否是梨品质检测的指标之一,因而对果梗情况进行准确判别具有重要意义。为此,通过计算机视觉系统摄取梨的图像,利用图像处理技术提出了一种能快速判别梨果梗有无的算法。该算法的识别正确率达90%,识别速度大约在20～30ms,实现了对梨果梗进行高速检测的目标。     

改进田间杂草识别图像预处理方法的研究

机器视觉系统采集到的田间杂草图像在分割之前,需要对图像进行预处理来改善图像的视觉效果。为了提高图像的预处理效果,针对杂草图像的特点,在多级加权中值滤波算法的基础上,增加3个不同大小尺寸的二维滤波掩膜,使得在去除噪声的同时尽可能保留了更多的细节特征,从而改善了田间杂草图像的滤波效果。     

基于计算机视觉技术的水果分级研究进展

较为全面地介绍了国内外基于计算机视觉技术的水果外观品质的单指标分级、多指标综合分级和水果内部品质检测分级的研究现状与方法,指出了现有研究中研究对象较单一、图像采集不全面、图像处理算法不多、精度不高等存在的主要问题.同时,提出了未来水果分级的发展方向,认为水果内外品质融合的一体化分级技术是未来的发展趋势.