Gabor filters have been successfully used for feature extraction in many machine vision applications. In this study Gabor filtering based features are analyzed in terms of filter parameters to provide new insight into advantages of Gabor filters. Analytical and experimental results show that filter responses behave in a stable manner even while the parameter selection is suboptimal. In addition...

Texture classification is a problem that has been studied and tested using different methods due to its valuable usage in various pattern recognition problems, such as wood recognition and rock classification. The Grey-level Co-occurrence Matrices (GLCM) and Gabor filters are both popular techniques used on texture classification. This paper combines both techniques in order to increase the acc...

Vehicle identification based on image processing is the basic key behind this paper. This technology has been obtained world wide attention nowadays due to low cost,flexibility,ease of access,potential towards collision avoidance and accuracy. In most cases the vehicles are identified on the basis of colour,texture,histogram,hue,saturation,contrast etc. Gabor filter obtained from Gaussian filte...

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.

One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work, we use a variation of Gabor wavelet transform for the representation of human face images to efficiently solve the pose estimation problem. Parameters of the Gabor wavelets, namely frequency and orientation, a...

Gabor filtering is a widely adopted technique for texture analysis. The design of a Gabor filter bank is a complex task. In texture classification, in particular, Gabor filters show a strong dependence on a certain number of parameters, the values of which may significantly affect the outcome of the classification procedures. Many different approaches to Gabor filter design, based on mathematic...

Women are far more likely than males to acquire breast cancer, and current research indicates that this is entirely avoidable. It also blame for higher death rates among younger women compared older in nearly all developing nations. Medical imaging modalities continuously need of development. A variety medical techniques have been employed detect cancer women. The most recent studies support ma...

This paper deals with convolution setting at boundary regions for 1D convolution computed during recursive Gaussian and Gabor filtering as well as staged Gabor filtering computed more efficiently as modulation, recursive Gaussian, and demodulation. These are established fast approximations to their filters. Until recently, all the three applications of recursive filters suffered from distortion...