Implementation of an Orientation Selective Hierarchical Spatial Filter Using Diffusion Network
نویسندگان
چکیده
proposed in 1980 simultaneously by Daugman [9] in two-dimensional form and by Marcelja [lo] in oneThis paper describes a neural network which detects dimensional form. the edges of different orientation and spatial frequency Watson [ l l ] proposed a cortex transform which in an image. The proposed neural network is useful for maps an image into a set of image that vary in image analysis, feature extraction, and texture resolution and orientation. The cortex transform was segmentation. designed to create several pyramids, one per selected orientation. Other band-pass filters with spatial
منابع مشابه
Determination of Fiber Direction in High Angular Resolution Diffusion Images using Spherical Harmonics Functions and Wiener Filter
Diffusion tensor imaging (DTI) MRI is a noninvasive imaging method of the cerebral tissues whose fibers directions are not evaluated correctly in the regions of the crossing fibers. For the same reason the high angular resolution diffusion images (HARDI) are used for estimation of the fiber direction in each voxel. One of the main methods to specify the direction of fibers is usage of the spher...
متن کاملSpectral-spatial classification of hyperspectral images by combining hierarchical and marker-based Minimum Spanning Forest algorithms
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
متن کاملDesing And Implementation of Adaptive Active Filters for Exact Estimation And Elimination of AC Network Distortions
In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...
متن کاملDesing And Implementation of Adaptive Active Filters for Exact Estimation And Elimination of AC Network Distortions
In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...
متن کاملInfrared Counter-Countermeasure Efficient Techniques using Neural Network, Fuzzy System and Kalman Filter
This paper presents design and implementation of three new Infrared Counter-Countermeasure (IRCCM) efficient methods using Neural Network (NN), Fuzzy System (FS), and Kalman Filter (KF). The proposed algorithms estimate tracking error or correction signal when jamming occurs. An experimental test setup is designed and implemented for performance evaluation of the proposed methods. The methods v...
متن کامل