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Rani, Shoba
- Texture Image Segmentation Using in Gabor Filter and Artificial Neural Network
Authors
1 Mother Therasa University, Kodaikanal, IN
2 Sun College of Engineering & Technology, Kanyakumari – 629902, Tamil Nadu, IN
Source
Digital Image Processing, Vol 3, No 2 (2011), Pagination: 101-107Abstract
The work focuses on segmentation of various textures of a given image. In addition, retrieval of the desired component of the image is done. The segmentation and retrieval is based on the texture features of the image. The goal of the work is to develop a promising technique to segment the textures of the image. Basically,we use a set of GABOR filters segmenting the given image and using artificial neural network (ANN) for extracting the relevant information.
The theme of the work is based on GABOR filters which are based on the famous Gaussian function. Using Gabor filters, does the extractions of features of the various textures in the given image. By using the obtained features, subsequent labeling is done by (Backpropagation algorithm) ANN. The nature of the work involves taking an image texture as input and getting the partitioned or segmented textures as output. It can be very well justified in doing this work as automatic segmentation, identification and classification and as an important role image processing. The future of the work is unlimited.
Keywords
Texture Image Segmentation, Image Retrieval, Gabor Filters, Artificial Neural Network.- Wavelet Based Texture Analysis for Image Retrieval Applications
Authors
1 Department of Computer Science, Mother Therasa University, Kodaikanal, IN
2 Sun College of Engineering and Technology, Nagercoil, IN
Source
Digital Image Processing, Vol 2, No 10 (2010), Pagination: 376-383Abstract
Texture is a ubiquitous experience and can describe a variety of natural phenomena with repetition, such as sound (background noise in a machine room), motion (animal running), visual appearance (surface color and geometry) and human activities (daily lives). Since reproducing the realism of the physical world is a major goal for computer graphics, textures are important for rendering synthetic images and animations. However, as textures are so diverse it is difficult to describe and reproduce them under a common framework. In this paper, new methods for synthesizing textures are presented. The initial part of the paper is concerned with a basic algorithm for reproducing image textures. The limitations of traditional methods can be overcome by the proposed approach based on multi-resolution (search neighborhoods and tree-structured vector quantization) analysis. The paper concerns with various extensions of the basic algorithm; the extensions concentrate on either reproducing textures of different physical phenomena such as motions, or creating textures in novel ways in addition to mimic existing ones.Keywords
Texture, Wavelet, Multiresolution Analysis and Image Retrieval.- Categorization of Video using Viola Jones and Fisher’s Linear Discriminant Function
Authors
1 CSE, Dr. M.G.R. Educational, and Research Institute University, IN
Source
Biometrics and Bioinformatics, Vol 7, No 4 (2015), Pagination: 110-113Abstract
A large amount of single-shot, short videos are created by using personal camcorder in day-to-day life. Many videos are kept in a video pool and merged into a single video. Categorization is done based on transition clues like objects or human beings. For categorization process frame-by-frame search is made on videos in a video pool. Frames are extracted from Video using Viola Jones algorithm. In each frame, complete object is extracted. Features are extracted from the remaining portion of object using Fisher’s Linear Discriminant function. The features are extracted from objects is considered as a pattern. If 20 frames belonging to a video are considered, then 20 patterns are created. This proposed system is mainly used for separating human beings and objects.Keywords
Categorization, Integral Image, HAAR Detector, Viola Jones Method, Fisher’s Linear Discriminant Function.- Analysis of Various Segmentation Techniques to Diagnose the Possible Liver Disorder
Authors
1 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
2 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
Source
Biometrics and Bioinformatics, Vol 7, No 4 (2015), Pagination: 114-115Abstract
Liver being the vital organ of human beings, diseases related to liver is considered to be more serious. This paper focuses on various segmentation techniques used to diagnose the abnormality functioning of liver. Image segmentation is considered to be a major process as it involves partitioning the image into smaller segments based on various features that includes intensity value of the image, color, etc.
Keywords
Image Segmentation, Segmentation Techniques, Boundary Tracking, Thresholding.- Implementation of Biological Recognition System for Gender Identification using Fingerprint Images
Authors
1 Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai – 600095, Tamil Nadu, IN