1 We present an algorithm for the design of multiple Gabor filters for the segmentation of multi-textured images. We draw upon earlier results that provide a segmentation error measure based on the predicted vector output statistics of multiple filter channels. This segmentation error measure is used to design the filter channels for a particular segmentation task. In our approach, the filter p...

An implementation of Gabor filters for description of texture and subsequent texture segmentation has been described. The filters are applied in a new method for the defect detection of dissimilarities of fabric during it’s quality inspection process. Design of Gabor filter is presented in frequency domain. Filtering was realized in software and it has been used together with dedicated inspection.

This paper presents multi-appearance fusion of Principal Component Analysis (PCA) and generalization of Linear Discriminant Analysis (LDA) for multi-camera view offline face recognition (verification) system. The generalization of LDA has been extended to establish correlations between the face classes in the transformed representation and this is called canonical covariate. The proposed system...

This paper describes a machine vision system for recognition of bakery donut produce using Gabor filter that is capable of first locating and then analyzing regions of subtle texture differences. In the case when there is similar texture pattern, color analysis can then be used. Compared to conventional methods and applications, what newly presented are: Automatic location of small distinctive ...

Identity verification of authentic persons by their multiview faces is a real valued problem in machine vision. Multiview faces are having difficulties due to non-linear representation in the feature space. This paper illustrates the usability of the generalization of LDA in the form of canonical covariate for face recognition to multiview faces. In the proposed work, the Gabor filter bank is u...

A Gabor filter based feature extraction scheme for texture classification is proposed. By using a novel set of circularly symmetric filters, rotation invariance is achieved. The scheme offers a high classification performance on textures at any orientation using both fewer features and a smaller area of analysis than most existing schemes. The performance of the scheme on noisy images is also i...

This paper presents an integrated approach using multiple Gabor filters for the segmentation of multi-textured images. The approach includes both the design of the constituent Gabor filters and the design of the classifier and postprocessing. The classifier uses a mixture density to reduce localization error at texture boundaries, and the postprocessing uses morphological operators to remove sp...

In this paper we propose and examine non–parametric statistical tests to define similarity and homogeneity measures for textures. The statistical tests are applied to the coefficients of images filtered by a multi–scale Gabor filter bank. We will demonstrate that these similarity measures are useful for both, texture based image retrieval and for unsupervised texture segmentation, and hence off...