F: Graphics & Vision (133)
GJCST: F
Robust Image Retrieval using Dominant Colour with Binarized Pattern Feature Extraction and Fast Correlation
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 3 The modern technology providing the sharing of information at very fast rate such as audio, video and images. The sharing of such data also increased as the social networking sites become popular among young generation. Now the online databases of images is so huge having millions of images, and the searching of images we need is crucial task. For such applications various image retrieva...
Paper Information
Authors Gayatri Tiwari, Prof. Dr. Bhupesh Gour, Prof.Dr. Asif Ullah KhanRead Journal Click Here
Read Paper Click Here
Page No. 25 to 29
Emotion Profiling: Ingredient for Rule based Emotion Recognition Engine
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 3 Emotions are considered to be the reflection of human thinking and decision-making process which increase his/her performance by producing an intelligent outcome. Hence it is a challenging task to embed the emotional intelligence in machine as well so that it could respond appropriately. However, present human computer interfaces still don’t fully utilize emotion feedbac...
Paper Information
Authors Dr. Preeti Khanna, Dr. Sasi M KumarRead Journal Click Here
Read Paper Click Here
Page No. 13 to 23
Image Segmentation for Animal Images using Finite Mixture of Pearson Type VI Distribution
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 3 Image Segmentation is one of the significant tool for analyzing images, the feature vector of the images are different for different types of images. In remote sensing, Environmental ecological systems, forest studies, conservation of rare animals, the animal images are more important. In this paper we developed and analyze an image segmentation algorithm using mixture of Pearson Type VI...
Paper Information
Authors K. Srinivasa Rao, P. Chandra Sekhar, P. Srinivasa RaoRead Journal Click Here
Read Paper Click Here
Page No. 1 to 12
Modified Distributive Arithmetic based 2D-DWT for Hybrid (Neural Network-DWT) Image Compression
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 2 Artificial Neural Networks (ANN) is significantly used in signal and image processing techniques for pattern recognition and template matching. Discrete Wavelet Transform (DWT) is combined with neural network to achieve higher compression if 2D data such as image. Image compression using neural network and DWT have shown superior results over classical techniques, with 70% higher compres...
Paper Information
Authors Mr. Murali Mohan.S, Dr. P.SatyanarayanaRead Journal Click Here
Read Paper Click Here
Page No. 37 to 48
A New Generalized Gaussian Density and HOG based Content based Image Retrieval System
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 2 Content-based image retrieval (CBIR) uses the contents of images to represent and access the images. This paper focus on retrieving the image by separating images into its three coloromponents R, G and B and for that Discrete Wavelet Transformation is applied. Then Wavelet based Generalized Gaussian Density (GGD) is applied which is used for modeling the coefficients from the wavelet tra...
Paper Information
Authors Dr. AnnaSaroVijendran.E, S.Vinod KumarRead Journal Click Here
Read Paper Click Here
Page No. 31 to 35
Recent Advancements on Symmetric Cryptography Techniques -A Comprehensive Case Study
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 2 Now a day’s Cryptography is one of the broad areas for researchers; because of the conventional block cipher has lost its potency due to the sophistication of modern systems that can break it by brute force. Due to its importance, several cryptography techniques and algorithms are adopted by many authors to secure the data, but still there is a scope to improve the previ...
Paper Information
Authors Sangapu Venkata Appaji, Dr. Gomatam V S AcharyuluRead Journal Click Here
Read Paper Click Here
Page No. 19 to 30
Dynamic Selection of Suitable Wavelet for Effective Color Image Compression using Neural Networks and Modified RLC
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 2 Image Compression has become extremely important today with the continuous development of internet, remote sensing and satellite communication techniques. In general, single Wavelet is not suitable for all types of images. This paper proposes a novel approach for dynamic selection of suitable wavelet and effective Image Compression. Dynamic selection of suitable wavelet for different typ...
Paper Information
Authors Mr. P. Sreenivasulu, Dr. K. Anitha SheelaRead Journal Click Here
Read Paper Click Here
Page No. 7 to 18
Visual Recognition of Bengali Sign Language using Local Binary Pattern Compared with ANN
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 2 This paper presents an overview of visual recognition of Bengali Sign Language. In this paper we learn and detect a sequence of sign words and recognize the sign language that are understandable to the deaf and hearing impaired people to help normal people understand the meaning of these words. The research discusses the characteristics of the human sign languages, the requirements and d...
Paper Information
Authors Md. Abdur RahimRead Journal Click Here
Read Paper Click Here
Page No. 1 to 6
Design and FPGA Implementation of High Speed DWT-IDWT Architecture with Pipelined SPIHT Architecture for Image Compression
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 1 Image compression demands high speed architectures for transformation and encoding process. Medical image compression demands lossless compression schemes and faster architectures. A trade-off between speed and area decides the complexity of image compression algorithms. In this work, a high speed DWT architecture and pipelined SPIHT architecture is designed, modeled and implemented on F...
Paper Information
Authors T.Vijayakumar, S. RamachandranRead Journal Click Here
Read Paper Click Here
Page No. 40 to 52
Crowd Behavior Analysis and Classification using Graph Theoretic Approach
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 1 Surveillance systems are commonly used for security and monitoring. The need to automate these systems is well understood. To address this issue we introduce the Graph theoretic approach based Crowd Behavior Analysis and Classification System (GCBACS). The crowd behavior is observed based on the motion trajectories of the personnel in the crowd. Optical flow methods are used to obtain th...
Paper Information
Authors Najmuzzama Zerdi, Dr. Subhash S Kulkarni, Dr.V .D. Mytri, Kashyap D DhruveRead Journal Click Here
Read Paper Click Here
Page No. 25 to 33
More...
Detection of Optic Disc and Hard Exudates Using TWIN PLANE Gradient Windowing Technique
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 1 Detection of Optic disc (OD) in a fundus image is a foremost important step in the process of screening the diabetic retinopathy [1,4,18]. Hard Exudates detection algorithms usually find lot of false positives since the intensity and color distribution of OD will much resemble that of a Hard Exudates region [15,16]. So, most of the Exudates detection algorithms will miss classify the pix...
Paper Information
Authors G.Ferdic Mashak Ponnaiah, Dr.S.Santhosh BabooRead Journal Click Here
Read Paper Click Here
Page No. 19 to 23
Fingerprint Recognition in Biometric Security -A State of the Art
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 1 Today, because of the vulnerability of standard authentication system, law-breaking has accumulated within the past few years. Identity authentication that relies on biometric feature like face, iris, voice, hand pure mathematics, handwriting, retina, fingerprints will considerably decrease the fraud. so that they square measure being replaced by identity verification mechanisms. Among b...
Paper Information
Authors P. Sreenivasa MoorthyRead Journal Click Here
Read Paper Click Here
Page No. 13 to 18
Classification of Facial Expressions based on Transitions Derived from Third Order Neighborhood LBP
Published In: GJCST Part: F: Graphics & Vision Volume: 14 Issue: 1 The present paper extended the LBP transitions derived from second-order neighbourhood on to third order neighbourhood LBP (TN-LBP) and derived transitions on Trapezoid patterns for facial expression classification. The TN-LBP forms four Trapezoid Patterns (TP) i.e. top left, bottom right and top right, bottom left. So far no researcher carried out work on classification problem based on...
Paper Information
Authors Dr. Vakulabharanam Vijaya Kumar, Gorti Satyanaraya Murty, Pullela S V V S R KumarRead Journal Click Here
Read Paper Click Here
Page No. 1 to 12
Probabilistic Color Image Classifier Based on Volumetric Robust Features
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 9 Need of more sophisticated methods to handle color images becomes higher due to the usage, size and volume of images. To retrieve and index the color images there must be a proper and efficient indexing and classification method to reduce the processing time, false indexing and increase the efficiency of classification and grouping.We propose a new probabilistic model for the classificat...
Paper Information
Authors V. Padmanabhan, Dr. M.PrabakaranRead Journal Click Here
Read Paper Click Here
Page No. 35 to 38