F: Graphics & Vision (133)
GJCST: F
A Review of Comparison Techniques of Image Steganography
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 4
Steganography is an important area of research in recent years involving a number of applications. It is the science of embedding information into the cover image viz., text, video, and image (payload) without causing statistically significant modification to the cover image. The modern secure image steganography presents a challenging task of transferring the embedded information to the...
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Authors Stuti Goel, Arun Rana, Manpreet KaurRead Journal Click Here
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Page No. 9 to 14
Performance Evaluation of SVM – RBF Kernel for Medical Image Classification
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 4
An approach for automatic classification of computed tomography (CT) medical images is presented in this paper. A vast amount of CT images are produced in modern hospitals due to advances of multi-slice Computed Tomography (CT) Scan which handles up to 64 slices per scan. So, an input image based automatic medical image retrieval system is now a necessity. In this paper, Coiflet wavelets...
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Authors N.T.Renukadevi, Dr.P.ThangarajRead Journal Click Here
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Page No. 15 to 19
Human Skin Detection
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 3
Skin-color modeling is a crucial task for several applications of computer vision. Problems such as face detection in video are more likely to be solved if an efficient skin-color model is constructed. Most potential applications of skin-color model require robustness to significant variations in races, differing lighting conditions, textures and other factors. Given the fact that a skin...
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Authors Md. Zargis Talukder, Avizit Basak, Dr. Muhammad ShoyaibRead Journal Click Here
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Page No. 31 to 37
Software for Drawing Jittered Plot: A Graphical Counterpart of Anova
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 3
The Analysis of Variance is a robust tool for comparing significant difference between means of multiple series. The paper discusses an existing graphical tool that can be considered as a visual counterpart for the same purpose, and proposes some extensions to the plot. The jittered plot for different factors each at two levels along with their means and corresponding confidence interval...
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Authors Dr. Dibyo Jyoti Bhattacharjee, Dr. Rupak GuptaRead Journal Click Here
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Page No. 17 to 24
Performance Analysis among Different Classifier Including Naive Bayes, Support Vector Machine and C4.5 for Automatic Weeds Classification
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 3
Weeds are often one of the biggest problems encountered by farmer in conventional agriculture. Maximum productivity of crops can be achieved by proper weeds management. Applying excessive herbicide uniformly throughout the field has an adverse effect on the environment. An automated weed control system which can differentiate the weeds and crops from the digital image could be a feasible...
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Authors Md Mursalin,Md. Motaher Hossain, Md. Kislu Noman, Md. Shafiul AzamRead Journal Click Here
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Page No. 11 to 15
Digital Image Watermarking using DCT and Zip Compression Technique
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 3
With the exponential growth of internet and high speed networks operating throughout the world it is a challenging task to protect copyright of an individual’s creation. In this paper, a spread-spectrum-like discrete cosine transform (DCT) domain watermarking technique for copyright protection of still digital images is analyzed. In our approach, the watermark is embedde...
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Authors Raunak Phade, Rucha Mahajan, Sampurna Mankar, Pratik PatilRead Journal Click Here
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Page No. 7 to 10
Image Toolbox for CMOS Image Sensors Fast Simulation
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 3
Thispaperpresentsanewtoolbox,dedicatedto image sensors designers. It permitsfast analog simulations withanovelparametricsimulationmethod.Imagesensor matrixes are composed of millions of pixels. Such architectures are long to simulate, if not impossible; and input /output datamanagementiscomplex.Agraphicaltoolbox has been developed in Cadence Analog Design Environment (ADE)toovercome thes...
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Authors David Navarro, Zhenfu Feng, Ian OConnorRead Journal Click Here
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Page No. 1 to 6
A Distance Based Hand Gesture Recognition Representing Numbers
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 2
Information communication between two peers can be done using various mediums. These mediums can be either linguistic or gestures. The development of procedure for realizing gestures into meaningful information plays a pivotal role in instances where linguistic feature cannot be taken as a basis and gestures can be used as the alternative for the conveying the same. This project basicall...
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Authors Ashis Pradhan, Prof. (Dr.) M.K.Ghose, Mohan PradhanRead Journal Click Here
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Page No. 21 to 26
Bangla character recognition system is developed by using automatic feature extraction and XOR operation
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 2
This paper presents off-line bangle character recognition system using automatic feature extraction and XOR operation. In this system, the Bangla text is accepted as an image file which is first segmented into lines and words and then each word is segmented into characters. The pixels outside the boundary of the character are eliminated. The characters are scaled to a size equal to the d...
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Authors Md. Mojahidul Islam, Md. Imran Hossain, Md. Kislu NomanRead Journal Click Here
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Page No. 13 to 19
An Approach to Extract Features from Document Image for Character Recognition
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 2
In this paper we present a technique to extract features from a document image which can be used in machine learning algorithms in order to recognize characters from document image. The proposed method takes the scanned image of the handwritten character from paper document as input and processes that input through several stages to extract effective features. The object in the converted...
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Authors Mohammad Imrul Jubair, Prianka BanikRead Journal Click Here
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Page No. 1 to 5
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Two State of Art Image Segmentation Approaches for Outdoor Scenes
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 2
The main research objective of this paper is to detecting object boundaries in outdoor scenes of images solely based on some general properties of the real world objects. Here, segmentation and recognition should not be separated and treated as an interleaving procedure. In this project, an adaptive global clustering technique is developed that can capture the non-accidental structural r...
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Authors Anju.J.A, Mr. Jenopaul.PRead Journal Click Here
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Page No. 7 to 12
Performance Analysis of Gray Scale and Color Iris with Multidomain Feature Normalization and Dimensionality Reduction
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 1
Iris recognition techniques have come a long way since the preliminary proposal by Daugman. There are several techniques which mainly focus on improving the performance of IRIS recognition system either with the help of improved classifier or the feature set. However we have proved that the performance of IRIS recognition to a large extend depends upon the inter dependability and separab...
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Authors Dr. V. V. Satyanarayana Tallapragada, Dr. E. G. RajanRead Journal Click Here
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Page No. 21 to 29
EDGE Identification during Fire Environment for Robot
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 1
It is very important for us to rescue from fatal accidents caused by fire. Recently in Bangladesh more than two hundred garment workers have deceased at Tajrin Fashion Industry. In this work we have performed the edge detection for Robot on the eve of edge identification to save the worker while they will be locked at emergency situations where human interaction will be failed. We have t...
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Authors Md. Rabiul HasanRead Journal Click Here
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Page No. 17 to 19
Analysis of Cross-Media Web Information Fusion for Text and Image Association- A Survey Paper
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 1
The image comprises of the text- and content-based features. Images can be represented using both text-and content-based features. Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. But the main concern is image and text association, a cornerstone of crossmedia web information fusion. Two methods ha...
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Authors Dr. M. Priyanka, B.Sunita Devi, S.M. Riyazoddin, M. Janga ReddyRead Journal Click Here
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Page No. 9 to 15
