F: Graphics & Vision (133)
GJCST: F
Face Recognition using Fused Diagonal and Matrix Features
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 1 Face recognition with less information availability in terms of the number of image samples is a challenging task. A simple and efficient method for face recognition is proposed in this paper, to address small sample size problem and rotation variation of input images. The robert`s operator is used as edge detection method to elicit borders to crop the facial part and then all cropped im...
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Authors Jagadeesh H S, Suresh Babu K, K B RajaRead Journal Click Here
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Page No. 17 to 27
Improved Image Denoising Filter using Low Rank & Total Variation
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 1 Better diagnosis of disease is possible only with the better microscopic images. To do so images of the affected area are captured and then noise is removed to obtain accurate diagnosis. Many algorithms have been proposed till date. But they are capable of removing noise only in spatial domains so this paper tries to overcome that by combining low rank filter and regularization. If we on...
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Authors Garima GoyalRead Journal Click Here
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Page No. 13 to 15
Exerting Moment Algorithms for Restoration of Blurred Images
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 1 In this paper presents the restoration of blurred images which gets degraded due to diverse atmospheric and environmental conditions, so it is essential to restore the original image. The research outcomes exhibit the major identified bottleneck for restoration is to deal with the blurred image as an input to imaging agent employing various methodologies ranging from principle component ...
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Authors K. Bhima, Dr. A JaganRead Journal Click Here
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Page No. 7 to 12
Two Degree-Of-Freedom Camera Support System
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 1 A surveillance camera is used to observer and record the surroundings. There are many types of existing surveillance camera and each of them has their own specifications made to suit their respective purposes. For example, there are fixed, 1-degree-of- freedom (DOF) and2-DOF cameras. As for a moving camera, it is essential for it to be able to move freely so that it can capture the targe...
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Authors Md. Nasir Uddin, MM Rashid, M Parvez, MM Sultan, SZ Ahmed, NA Nithe, JI Rony, MT RahmanRead Journal Click Here
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Page No. 1 to 5
Moving Object Tracking using Color Feature in a Video
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 4 Video processing is one of the most challenging areas in image processing. It deals with identifying an object of interest. Motion detection has been used in many fields either directly or indirectly. In this paper an efficient approach to motion detection in video sequence using color feature extraction operator. Using this approach we improve the background subtraction and detecting th...
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Authors K.Srinivasan, Dr. P.BalamuruganRead Journal Click Here
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Page No. 9 to 12
Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 4 In Multimodal biometrics system two or more biometric attributes are combined which makes it far more secure than unimodal system as it nullifies all the vulnerabilities of it. But with the prompt ontogenesis of information technology, even the biometric data is not secure. There is one such technique that is implemented to secure the biometric data from inadvertent or deliberate attacks...
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Authors Shashi Choudhary, Naveen ChoudharyRead Journal Click Here
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Page No. 1 to 7
Brain Tumor Detection using MR Images through Pixel based Methodology
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 4 Brain tumor, a notorious disease, has affected and devastated many lives. This disease has been the centre of attention of thousands of researchers for many decades, around the world. Researchers have combined their knowledge and efforts from many areas ranging from medical to mathematical sciences, to better understand the disease and to find more effective treatments. The key objective...
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Authors Md. Abdullah Al Mahmud, A.H.M. Zadidul Karim, Md. Mashiur RahmanRead Journal Click Here
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Page No. 13 to 16
Multi Spectral Band Selective Coding for Medical Image Compression
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 3 Medical image compression has recently evolved as an area of research for progressive transmission. The distance based medical diagnosis, demands for high quality imaging at faster data transfer rate. As the information’s are highly informative, each pixel information defines a sample observation. Hence the coding in medical diagnosis need to be of higher accuracy than c...
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Authors S. Jagadeesh, Dr. E. NagabhooshanamRead Journal Click Here
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Page No. 21 to 28
Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 3 Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the rang...
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Authors Swalpa Kumar Roy, Samir Kumar Bandyopadhay, Debnath Bhattacharyya, Tai-Hoon KimRead Journal Click Here
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Page No. 9 to 20
Discrimination of Textures Using Texton Patterns
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 3 Textural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present p...
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Authors Shaik Rahamat Basha, P Kiran Kumar ReddyRead Journal Click Here
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Page No. 1 to 7
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A Study on Preprocessing and Feature Extraction in offline Handwritten Signatures
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 2 In offline handwritten signature verification process, preprocessing of the signature is the very fast and most essential part. In some cases the raw signature can include extra pixel known as noises or may not be in proper form where preprocessing is mandatory. If a signature is preprocessed correctly, it leads to a better result for both signature matching and forgery detection. Pre-pr...
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Authors Tansin Jahan ,Md. Shahriar Anwar , Dr. S. M. Abdullah Al-MamunRead Journal Click Here
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Page No. 21 to 25
A Nobel Approach to Retrieveactual Image from a Compressedoneby using Dequantisation Technique
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 2 Image Compression addresses the problem of reducing the amount of data required to represent the digital image. Image compression and decompression are very popular processes in image processing. Image compression is a way in which the data to be transmitted are compressed into a smaller version and then transmitted. Compression is achieved by the removal of one or more of three basic da...
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Authors H Sunil, Dr. Sharanabasaweshwar G HiremathRead Journal Click Here
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Page No. 1 to 11
Enhanced Image Fusion Technique for Segmentation of Tumor using Fuzzy
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 This paper presents the MRI brain diagnosis support system for structure segmentation and its analysis using spatial fuzzy clustering algorithm. The method is proposed to segment normal tissues such as white Matter, Gray Matter, Cerebrospinal Fluid and abnormal tissue like tumor part from MR images automatically. These MR brain images are often corrupted with Intensity Inhomogeneity arti...
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Authors Mohammed Rifaie Mohammed, Prof. E. Sreenivasa ReddyRead Journal Click Here
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Page No. 31 to 34
Seismic Data Compression using Wave Atom Transform
Published In: GJCST Part: F: Graphics & Vision Volume: 15 Issue: 1 Seismic data compression (SDC) is crucially, confronted in the oil Industry with large data volumes and Incomplete data measurements. In this research, we present a comprehensive method of exploiting wave packets to perform seismic data compression .Wave atoms are the modern addition to the collection of mathematical transforms for harmonic computational analysis. Wave atoms are variant ...
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Authors Subba Reddy Borra,G.Jagadeeswar Reddy ,E.Sreenivasa ReddyRead Journal Click Here
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Page No. 35 to 41