Titlebook: Intelligent Computing in Signal Processing and Pattern Recognition; International Confer De-Shuang Huang,Kang Li,George William Irwin Book

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A Fuzzy Kohonen’s Competitive Learning Algorithm for 3D MRI Image Segmentationstering algorithm in brain MRI image segmentation. However, most brain MRI images always present overlapping gray-scale intensities for different tissues. In this paper, fuzzy methods are integrated with Kohonen’s competitive algorithm to overcome this problem (we will name the algorithm F_KCL). The

虚假

A Hybrid Genetic Algorithm for Two Types of Polygonal Approximation Problems Min-# problem and Min-. Problem. Its main idea is that two classical methods—split and merge techniques are applied to repair infeasible solutions. In this scheme, an infeasible solution can not only be repaired rapidly, but also be pushed to a local optimal location in the solution space. In addit

健壮

Defraud

A Novel Approach in Sports Image Classificationse a sports image classification system that properly classifies sports images into one of eight classes. The proposed system uses normalized MPEG-7 visual descriptors as the input of the neural network system. The experimental results show that the MPEG-7 descriptorscan be used as the main feature

heirloom

Ostrich

A Novel Color Image Watermarking Method Based on Genetic Algorithmes employ gray-level images to embed the watermarks, whereas the application to color images is scarce and usually works on the luminous or individual color channel. In this paper, a novel intensity adaptive color image watermarking algorithm based on genetic algorithm (CIWGA) is presented. The adap

MEEK

A Novel Emitter Signal Recognition Model Based on Rough Seted in this paper and introduced into the problem of emitter recognition, based on which a new emitter signal recognition model is presented. At the same time, a new method of determining weight coefficients is proposed, which is independent of a prior knowledge. And a new classification rule is also

Lament

A Novel Model for Independent Radial Basis Function Neural Networks with Multiresolution Analysisctions, and does not take account of the high-order statistical relationship among variables of input samples. But the high-order statistical relationship does play an important part in pattern recognition (classification) area. In order to take advantage of the high-order statistical relationship a

badinage

A Novelty Automatic Fingerprint Matching Systemhing system(AFMS). It includes three stages: fingerprint classification, minutiae extraction and fingerprint matching. In the stage of fingerprint classification, a fingerprint is classified into one of the five types, Arch, Right Loop, Left Loop, Whorl and Others. In the stage of minutiae extractio

macabre

Abnormal Pattern Parameters Estimation of Control Chart Based on Wavelet Transform and Probabilistiche simulation results show that the performance of the proposed method has many advantages, such as simple structure, quick convergence, higher recognition rate, which can be used in the abnormal patterns parameter estimation of control chart.