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The objective of this work is the detection of object classes. An improved method is used for object detection and segmentation in real-world multiple-object scenes. It has two stages. In the first stage this method develops a novel technique to extract class-discriminative boundary fragments and the texture features near the boundary, and then boosting is used to select discriminative boundary fragments...
Segmentation is an important step in fingerprint recognition ystem, in which the region of interest can be extracted. his paper presents a novel fingerprint image segmentation method aiming at dealing with low quality fingerprint images. Firstly the mean and variance of gray level in each divided block is used to differentiate the image coarsely. Then two new features intra-consistency and extra-consistency...
We propose a novel texture feature extraction technique based on coefficients' co-occurrence histogram of discrete wavelet frame transformed image, which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. It is not independently utilizing the information of each subband coefficient. The classification...
Local Binary Pattern (LBP) is a powerful means of texture description that has achieved great success in face analysis area. In this paper, we propose a face recognition approach using boosted LBP-feature based classifiers.The multi-class problem of face recognition is transformed into a two-class one of intra- and extra-class by classifying every pair of face image as intra-class or extra-class ones...
In this paper, based on analysis of gabor-filters parameters, it selects filters which have multi-scale and multi-orientation parameters, extract texture features from the convolution results that use these filters and Ancient porcelain shards Images, and reduce feature-data??s dimensions based on principal component analysis (PCA). At last, use nearest neighbor method classifies shards, automatically...
The issue of target localization by means of texture analysis is addressed. First the texture feature extraction based on multi-channel Gabor filter decomposition and the rotation invariant representation of Gabor features are analyzed in the view of their ability of classification. After that, a method based on Gabor features and neural network classifier is proposed. The method is composed of two...
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