F: Graphics & Vision (133)
GJCST: F
Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 10 Several competitive techniques have been applied for efficient image segmentation and automatic feature extraction through the literatures. There are a lot of open problems and controversial ambiguities regarding to the mechanism which applied by human eye for image segmentation and feature extraction. Here we have first extracted the human vision technique applied for image segmentation...
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Authors Dr. Ehsan KamraniRead Journal Click Here
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Page No. 33 to 35
Feature Selection Method for Iris Recognition Authentication System
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 10 Iris-based biometric authentication is gaining importance in recent times. Iris biometric processing however, is a complex process and computationally very expensive. In the overall processing of iris biometric in an iris-based biometric authentication system, feature selection is an important task. In feature selection, we ex-tract iris features, which are ultimately used in matching. S...
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Authors Dr. Pooja garg, Anshu ParasharRead Journal Click Here
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Page No. 29 to 32
Digital Watermarking
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 13 Today’s world is digital world. Nowadays, in every field there is enormous use of digital contents. Information handled on INTERNET and MULTIMEDIA NETWORK SYSTEM is in digital form. The copying of digital content without quality loss is not so difficult .Due to this , there are more chances of copying of such digital information. So , there is great need of prohibiting s...
Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 10 Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus. Image fusion deals with creating an image where all the objects are in focus. After image fusion, it plays an important role to perform other tasks of image processing such as image enhancemen...
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Authors Dr. G. Mamatha, Shaik Abdul Rahim, Cyril Prasanna RajRead Journal Click Here
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Page No. 17 to 23
An active contour for range image segmentation
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 10 In this paper a new classification of range image segmentation method is proposed according to the criterion of homogeneity which obeys the segmentation, then, a deformable model-type active contour “Snake†is applied to segment range images. ...
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Authors Dr. Khaldi Amine, Merouani Hayet FaridaRead Journal Click Here
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Page No. 7 to 15
Uncertainty Analysis for Spatial Image Extractions in the context of Ontology and Fuzzy C-Means Algorithm
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 10 This paper emphasis on spatial feature extractions and selection techniques adopted in content based image retrieval that uses the visual content of a still image to search for similar images in large scale image databases, according to a user’s interest. The content based image retrieval problem is motivated by the need to search the exponentially increasing space of im...
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Authors Dr. Md.Sarwar kamal, Sonia Farhana Nimmy, Linkon ChowdhuryRead Journal Click Here
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Page No. 1 to 6
Layered And Feature Based Image Segmentation Using Vector Filtering
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 9 A Sensor is a device that reads the attribute and changes it into a signal that can be simply examined by an observer or instrument. Sensors are worked in daily objects like touch-sensitive elevator buttons, road traffic monitoring system and so on. Each sensor would carry distinctive capabilities to utilize. The objects obtained in the sensor are tracked by many techniques which have be...
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Authors Dr. S.Kannan, Mr. M.SivakumarRead Journal Click Here
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Page No. 9 to 13