This paper presents the improvisation of Modified Gabor Filter design using Verilog HDL. This work details important enhancement made to the modified Digital Gabor filter to minimize the sizing problem and the coding style that synthesizable. The intention is to study, analyze, simplify and improvise the design synthesis efficiency and accuracy while maintaining the same functionality. The main...

We present a system for the visualization of an important signal processing techniquea Gabor Filter bank’s response to an image. To do this, one must overcome the problem that no multi-dimensional space can be shown in a a single, static graph. We use an interactive widget to change the visible range of the projected dimensions, and additional graphics which summarize the responses in the proje...

This paper proposes a new Gabor filter-based generative approach to texture abnormality detection, called Gabor Composition or GC. The GC algorithm, a combination of Gabor filtering and co-occurrence analysis, employs a Gabor filter bank to generate a multi-scale and multidirectional feature map of the test image. The feature map is then fed to a co-occurrence based feature extraction module, w...

By applying a bank of 2D Gabor filters to a blurred image, single-frame blind-image deconvolution (SF BID) is formulated as a 3D tensor factorization (TF) problem, with the key contribution that neither origin nor size of the spatially invariant blurring kernel is required to be known or estimated. Mixing matrix, the original image, and its spatial derivatives are identified from the factors in...

Transcatheter arterial chemoembolization (TACE) and sorafenib combination treatment for unselected hepatocellular carcinoma (HCC) is controversial. We explored the potential of texture analysis for appropriate patient selection. There were 261 HCCs included (TACE group: n = 197; TACE plus sorafenib (TACE+Sorafenib) group n = 64). We applied a Gabor filter and wavelet transform with 3 band-width...

This paper aims to present fingerprint image enhancement by using directional circular raised cosine filters which are implemented using a radial component and an angular component. It has been compared with the common filters used for bandpass filtering, i.e. circular Gabor filters and Log-Gabor filters at the same bandwidth. The experimental results have found that the circular raised cosine ...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. The purpose of this research paper is to analysis of performance of Gabor filter and average Gabor filter. Feature extraction is the key step on which recognition rate depends for faci...

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...

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 is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from images. Second, that by increasing the amount of correspondence information used, more accurate egomotion estimation is possible. We present a novel approach illustrating these principles. We first present a framework for u...