The classification of satellite image has various issues including image quality. The aim of classifying satellite image is to provide better understanding of image . The classification of image depends on various features. the present paper focuses on five categories of satellite image such as residential area, agriculture, desert, mountain and forest. The objective of this paper is to study t...

New method of blinking detection is proposed. The utmost important of blinking detection method is robust against different users, noise, and also change of eye shape. In this paper, we propose blinking detection method by measuring the distance between two arcs of eye (upper part and lower part). We detect eye arcs by apply Gabor filter onto eye image. As we know that Gabor filter has advantag...

We study the problem of robust human detection. In this paper, a new descriptor, Pyramidal Statistics of Oriented Filtering (PSOF), is proposed for human shape representation. Unlike traditional one-scale gradient-based methods, the PSOF descriptor utilizes a Gabor filter bank to obtain multi-scale pixel-level orientation information and makes use of locally normalized pyramidal statistics of t...

This paper describes a new method for analysis and segmentation of facial laser range data employing complex–valued non–orthogonal Gabor wavelets, principal component analysis and a topological mapping network. The initial data set consisting of shape and texture information is encoded in amplitude and phase of a complex 2D image function. A set of oriented Gabor filters performs a decompositio...

Texture features play a predominant role in land cover classification of remotely sensed images. In this study, for extracting texture features from data intensive remotely sensed image, Gabor wavelet has been used. Gabor wavelet transform filters frequency components of an image through decomposition and produces useful features. For classification of fuzzy land cover patterns in the remotely ...

This paper presents an automated inspection algorithm for a thick plate. Thick plates typically have various types of surface defects, such as scabs, scratches, and roller marks. These defects have individual characteristics including brightness and shape. Therefore, it is not simple to detect all the defects. In order to solve these problems and to detect defects more effectively, we propose a...

This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived...

This paper proposes an algorithm for segmentation and extracting an object region by using Gabor filters. Gabor filters are exploited to extract spatial frequency in some orientations, and not only the outputs of Gabor filters but also color informations are used to construct the features at each image pixel. The criterion is devised so as to consider the similarity, the region size and the reg...

In this paper, we present a new method for content based images retrieval (CBIR). We propose characterizing images by using global information extracted from the Fast and Adaptive Bidimensional Empirical Mode Decomposition (FAEMD), which decomposes image into a set of functions named Bidimensional Intrinsic Mode Functions (BIMF) and a residue. On the first two BIMFs, which contains a high frequ...

Œe GFR (Gabor Filter Residual) features, built as histograms of quantized residuals obtained with 2D Gabor €lters, can achieve competitive detection performance against adaptive JPEG steganography. In this paper, an improved version of the GFR is proposed. First, a novel histogram merging method is proposed according to the symmetries between di‚erent Gabor €lters, thus making the features more...