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A 40 kV electron gun is designed and developed using the Pierce configuration for the focusing electrode. Simulations were carried out using CST Particle Studio. The Gun is a thermionic type electron gun with indirect heating of the LaB6 cathode. The gun is capable of delivering a beam current of more than 500 mA at 40 kV with a beam size of less than 5 mm. The cathode assembly consists of cups and...
A 3MeV, 30kW DC Electron Beam Accelerator developed at BARC is installed at the Electron Beam Centre (EBC) Kharghar, Navi Mumbai. The entire accelerator assembly, spread over two floors, consists of Electron Gun, Accelerating Tube, Steering Magnet, Focusing Coil, Beam Tube, Beam Locating Aperture, Scan Magnet Chamber and Scan Horn. The complete electron beamline will be maintained under high vacuum...
This paper proposes a novel approach to colorize a gray scale facial image with the selected reference face using patch matching technique. The colorization methodology has been applied on facial images due to their extensive use in various important fields like archaeology, entertainment, law enforcement etc. The experiment has been conducted with 150 male and female facial images collected from...
This paper proposes a novel methodology to find a facial image similar in complexion of a given query image from a facial image database. There are a lot of methodologies described in literature to find the distance between two images. But none of the existing methodologies has focused on the complexion based searching and that is why they don't give satisfactory result in this aspect. But the proposed...
A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level...
In this paper a scheme for offline handwritten Devnagari character recognition is proposed, which uses different feature extraction and recognition algorithms. The proposed system assumes no constraints in writing style, size or variations. First the character is preprocessed and features namely : chain code histogram, four side views, shadow based are extracted and fed to multilayer perceptrons as...
Here an efficient fusion technique for automatic face recognition has been presented. Fusion of visual and thermal images has been done to take the advantages of thermal images as well as visual images. By employing fusion a new image can be obtained, which provides the most detailed, reliable, and discriminating information. In this method fused images are generated using visual and thermal face...
This paper presents a novel approach to handle the challenges of face recognition. In this work thermal face images are considered, which minimizes the affect of illumination changes and occlusion due to moustache, beards, adornments etc. The proposed approach registers the training and testing thermal face images in polar coordinate, which is capable to handle complicacies introduced by scaling and...
In this paper, we present an OCR for handwritten Devnagari characters. Basic symbols are recognized by neural classifier. We have used four feature extraction techniques namely, intersection, shadow feature, chain code histogram and straight line fitting features. Shadow features are computed globally for character image while intersection features, chain code histogram features and line fitting features...
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