Titlebook: Innovations in Intelligent Image Analysis; Halina Kwaśnicka,Lakhmi C. Jain Book 2011 Springer-Verlag Berlin Heidelberg 2011 Biometric Syst

Autonomous

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书目名称Innovations in Intelligent Image Analysis读者反馈学科排名

craving

Multi-class Classification in Image Analysis via Error-Correcting Output Codes,echnique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC desig

言外之意

Morphological Operator Design from Training Data,orphological operators can be intuitively explained in terms of geometrical and topological characteristics of the images. From a formal perspective, mathematical morphology is based on complete lattices, which provides a solid theoretical framework for the study of algebraic properties of the opera

ESO

crucial

Fast and Efficient Local Features Detection for Building Recognition,e variation in imaging conditions such as illumination and geometrical properties (including scale, rotation, and viewpoint) gives rise to the need for invariant features; i.e. image features should have minimal differences under these conditions. Local image features in the form of key points are w

他去就结束

Visual Perception in Image Analysis, by J.H. Poincaré in 1893 in his representation of the results of G.T. Fechner’s 1860 psychophysics experiments with sensation sensitivity in lifting small weights. The focus of Fechner’s experiments was on sensation sensitivity. By contrast, the focus of Poincaré rendition of Fechner’s experiments

bourgeois

An Introduction to Magnetic Resonance Imaging: From Image Acquisition to Clinical Diagnosis,ly on the 1-2 mm scale). A variety of pulse sequences have been developed that provide quantitative information regarding the structural features of a variety of tissue classes, providing details that are extremely beneficial in a clinical setting. Unlike positron emission tomography (PET), MRI as i

arcane

,Image Analysis in Poincaré-Peters Perceptual Representative Spaces,the image correspondence problem, ., to what extent does the content of one digital image correspond to content of other digital images. The solution to this problem stems from a recent extension of J.H. Poincaré’s representative spaces from 1895 introduced by J.F. Peters in 2010 and near sets intro

Measured

Fatten

Feature Analysis for Object and Scene Categorization, and empirically validated for image scene and object categorization problems, no matter it is for general-purposed applications such as image retrieval, or for specific domains such as medical image analysis. On the other hand, there are few attempts in assessing the effectiveness of these features