Application and Research on Fuzzy Cluster with Sintering Quanlity

The sintering parameters, such as sinter trolley speed, stuff thickness and ignition temperature etc. have important influence on sinter section image character distribution, and the sinter chemical ingredient have complicated nolinear relation with sintering section image characters. The paper applied Mixed-F statistic analysis to determine the optimal class number of Fuzzy cluster of sintering section radiant image, and fuzzy partition entropy analysis to verify whether the class number is optimal. It is be proved that the algorithm is right and effective, and its application is helpful for the online forecasting sintering FeO range.     

Automatic feature extraction algorithm for porphyrin sensor array images

A feature extraction algorithm for porphyrin sensor array (PSA) images is presented. At the first step, it achieves an automatic tilt correction for PSA images based on radon transform. Then automatic mesh generation is applied to PSA images based on the method of combining projection binarization and mathematical statistics. The areas of porphyrin spots are locating by local threshold segmentation for the images which have achieved mesh generation. Finally, feature values of porphyrin spots are extracted by radius ratio method from the porphyrin spot areas. The algorithm solves the problem that identification of weak signal spots is quite difficult, and the extracted feature values are the maximum point to reflect the information of porphyrin spots. By ammonia, isoprene, aldehydes and other gases tests, the results show that the algorithm can effectively extract feature values of porphyrin spots in PSA images.     

A Fast Median Filtering Algorithm

A fast median filtering algorithm basing on the coherence of data in adjacent windows is presented.During median filtering,only the first median value is found by conventional squencing algorithm,the other median values are obtained by bisecting search method and quickinserting new element in sequenced window.For convenience of moving filter window along signal data,a data structure is desinged,which can make the new input element to cover output element and greatly reduce the quantity of computation.A 2-dimensional fast median filtering method by moving filter window along snack path is also introduced.     

Image denoising based on the complex direction of filter banks and blockshrink

A new image denoising algorithm based on the complex direction of filter bands and BlockShrink is proposed. The image is decomposed based on the complex direction of filter bands to obtain the coefficients. Then, according to the coefficient correlation, the block threshold method is used to select the best block size and the threshold. In this way, the unbiased risk estimation of each sub-band is minimized. The algorithm is entirely data-driven easy to implement and with good visual effects. Experiments show that the proposed algorithm increase the PSNR by 0.6 percent compared with the algorithm based on DWT-BlockShrink transform, and the edge and countour information are more clearly.     

A NEW ALGORITHM FOR REAL CIRCULAR CONVOLUTION AND THE COMPARASION WITH OTHERS

A new conolution algorithm is proposed and its real multiplication and additional requirements are N(loy2N - 1) + 2 and 3N(loy2N - 1) + 10 respectively to evaluate the real sequence circular convolution of N points. In comparasion with others, this algorithm is better in every aspect.     

The switching median filter denoising algorithm for encrypted images

Sometimes it is necessary to send the image data to the third party device to process. To ensure the image safety, it is necessary to encrypt the image before processing. A new algorithm for encrypted image processing is proposed. The image owner encrypts     

Color Image Compression Method Based on Incomplete Scanning Method

In view of color image characteristic, the paper improves the zero algorithm in the application of concrete algorithm, draws a new algorithm-incomplete scanning method, which is applied to color image compression. The authorsconvert color image from the RGB space into luminance-chrominance YUV space, then compress the converted image to encode/decode. Theoretical analysis and simulation experiment indicate that the compression ratio and encoding/decoding speed are increased, at the sase time the quality of restored image is guaranteed.     

A New Still Picture Compression Coding Algorithm

A new still picture compression coding algorithm,WH JPEG algorithm have been proposed due to JPEG baseline system having problem.Advantages of the algorithm include:remove blocking effect,higher compression rate,satisfactory multiform demand by contorlling number of layer.     

Segmentation algorithm for urinary sediment image combiningwavelet transform and 2D Maximum entropy threshold

In order to solve the problem that urine sediment visible components cannot be segmented effectively because of complex components, complicated defocusing in image and poor discrimination between object and background, a method based on combination algorithm wis designed to segment urine sediment. The wavelet transform wis used to erase the effect of defocusing. Then morphology wis utilized to get the subimages that include the particles. The segmentation method combining the wavelet transform based segmentation and the two dimensional entropy threshold based segmentation wis employed to segment urine sediment visible components. Experimental results show that the proposed method can segment urinary sediment images effectively and precisely.     

Illumination compensation of color video for driver fatigue monitor

A robust method to compensation illumination of driver video color image to enhance image quality has been proposed. Firstly, the original image is decomposed into high-frequency image and low-frequency image based on spatial image decomposition. The illumination information is completely contained in the low-frequency image. Next, low-frequency image is compensated by using Retinex approach which can brighten the darker area. Then, the compensated low-frequency image and high-frequency image are synthesized. Finally, new image is obtained by illumination balance of synthesized image. Results show that the algorithm has better results compared with the traditional algorithm.     

Correlation Between Granular Entropy and Classification Accuracy in Discretization

This paper discusses the correlation between the number of cut points, granular entropy and classification accuracy in discretization. It is proven that granular entropy decreases if the number of cut points increases. A hybrid discretization algorithm is proposed to provide discretization schemes for studying these measures. The simulation experiments show that the absolute value of the correlation coefficient between number of cut points and classification accuracy is quite large, as it for granular entropy and classification accuracy. Sometimes, the correlation between the granular entropy and classification accuracy is smaller than that between the cut points and classification accuracy.     

An edge detection method based on a good point set genetic algorithm

In order to improve the convergence rate of genetic algorithms based on edge detection, a novel edge detection method based on a good point set genetic algorithm (GGA) was proposed. The proposed method designed the crossover operation with the theory of good point set in which the progeny inherits the common genes of the parents which represent its family so as to improve the convergence rate of the genetic algorithm. Furthermore, before the algorithm was used for edge detection, the feature space of the image grey level was transformed into the feature space of the fuzzy entropy. Dissimilarity enhancement processing next was applied to the image by using a fuzzy entropy theory to filter the non edge pixels so as to reduce the scale of the solution domain. This approach offered another efficient way to improve the convergence rate. Experimental results show the proposed algorithm performs very well in terms of convergence rate. The detected edge image is well localized, thin, and robustly resistant to noise.     

Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory

In order to improve general adaptive capability of algorithm,the new color image segmentation algorithm based on feature divergence and fuzzy theory(FDCIS) is proposed.The algorithm introduces feature divergence and fuzzy dissimilarity function into calculation in order to measure the dissimilarity of feature vector,clusters data by means of feature divergence,and accomplishes the merge of image region.The experimental results demonstrate that the color image segmentation result of the proposed approach reduce calculation on large sample of color image,simply and effectively solve over-segmentation of color image,avoid the dependence of the algorithm on initial condition,and hold favorable consistency in terms of human perception.     

科研情报中的信息熵

从信息的概念入手,叙述了信息熵、信息量表达式的含义。对水土保持研究所的学科结构分布进行了统计并作了信息熵计算。对计算结果加以分析,表明了信息熵应用到科研情报中的意义,开拓了情报学研究的新领域。     

THE FOUR-MOMENT RELIABILITY ANALYSIS METHOD FOR PERFORMANCE FUNCTION IMPLICIT STRUCTURE

In this paper,the four-moment reliability analysis method for perfopmance function implicit structure is discussed. Discrete formulas expressed by Gauss-quadrature are presented when determine the parameter of probability density function which is established based on maximum entropy theory. The method in this paper is proposed for performance function implicit structure. Particularly, the discrete formulas used in this paper largely reduce calculating work with the same precision, so that the time-consume problem of four-moment reliability anlaysis is solved.     

An Image Reconstruction Fast Algorithm Based on Orthogonal Wavelets Derived from Symmetric Scale Functions

A new image reconstruction algorithm is presented, based on orthogonal wavelets derived from symmetric scale functions. The analysis and practice show that the method lessens greatly the computational time,and improves the reconstruction quality.     

Evolutionary topology optimization of the lower stable of a hydraulic press

It is difficult to obtain the globe optimum solution by applying conventional sizing and geometrical optimization methods. Evolutionary topology optimization is conducted for the lower stable of a hydraulic press using a bi directional evolutionary structure optimization (BESO) method based on ratio of stress changes, and the evolutionary history and index are analyzed. The presented algorithm obtains the simultaneous optimization on both geometry and topology, and a new topology of the lower stable of the press is evolved which possesses a reasonable topological structure. The results of finite element analysis show that the new structure has decreased maximum stress, uniform stress distribution and good material usage.     

Framework of M-channel Systems and the Best Symmetric Extension

In image compression based on wavelet transform, the borders of images have to be processed in advance so as to reduce the distortions around the borders. An efficient way for this problem is symmetric extension. There are different types of symmetric extension methods. The paper presents the best symmetric extension and gives a design algorithm. Using the algorithm, we obtain the scheme of extending and windowing the signals in general best M-channel analysis/synthesis system.     

回交自交系群体数量性状遗传体系的分离分析方法

将植物数量性状的主基因-多基因遗传体系检测的分离分析方法拓展到回交自交系群体。建立了包括无遗传控制、只有多基因控制、1～3对主基因控制和1～3对主基因＋多基因控制遗传模型下的混合分布函数，并由ML和ECM算法估计分布参数，以最大熵（最小AIC）准则和适合性测验选择最优最适遗传模型，进而利用所估计的分布参数估算遗传参数。在方法推演基础上通过1个模拟数据例题说明其应用。     

基于信息熵理论的模糊综合评价方法及其在棉花区试中的应用

为提高对区域试验参试品种评价的科学性和合理性,采用模糊数学和信息熵理论,提出了作物品种模糊熵权综合评价方法。该法利用作物品种区试的综合性状指标,建立相应的评价指标矩阵,然后借助信息论中的熵权理论,利用各评价指标的变异程度计算权重,实现品种的综合评价。最后结合棉花区试资料,介绍了该法的应用,验证了其可行性和有效性。