D. Jayadevappa | Visvesvaraya Technological University (original) (raw)
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Papers by D. Jayadevappa
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
This paper proposes a novel approach is that an application of the high technological advance in ... more This paper proposes a novel approach is that an application of the high technological advance in the field of communication and computation allows a new form of machine interconnectivity- wireless machine to machine (M2M) technology in railway network. The technologies for M2M solutions are also analyzed. This paper is mainly concerned with automatic protection of unman level crossing and tracking of opposite train in the railway network. We also propose a preventive algorithm in stated areas especially in unman level crossing. The provided generic software framework in unman level crossing allows systems to function effective and efficiently. Main scope of this paper is that an alarm signal is directly given to both control centre and train itself. The alert has been given by means of both light and audio medium.
IETE Technical Review, 2011
Abstract Image segmentation is an important step in image processing. Major advances in the field... more Abstract Image segmentation is an important step in image processing. Major advances in the field of medical imaging have provided physicians with powerful and non-invasive techniques to probe the structure, function, and pathology of the human body. This ...
In recent years, Active contours have been widely studied and applied in medical image analysis. ... more In recent years, Active contours have been widely studied and applied in medical image analysis. Active contours combine underlying information with high-level prior knowledge to achieve automatic segmentation for complex objects. Their applications include edge detection, segmentation of objects, shape modelling and object boundary tracking. This paper presents the development process of active contour models and describes the classical parametric active contour models, geometric active contour models, and new hybrid active contour models based on curve evolution and energy minimization techniques. It also discusses challenges and applications of active contour models in medical image segmentation.
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
This paper proposes a novel approach is that an application of the high technological advance in ... more This paper proposes a novel approach is that an application of the high technological advance in the field of communication and computation allows a new form of machine interconnectivity- wireless machine to machine (M2M) technology in railway network. The technologies for M2M solutions are also analyzed. This paper is mainly concerned with automatic protection of unman level crossing and tracking of opposite train in the railway network. We also propose a preventive algorithm in stated areas especially in unman level crossing. The provided generic software framework in unman level crossing allows systems to function effective and efficiently. Main scope of this paper is that an alarm signal is directly given to both control centre and train itself. The alert has been given by means of both light and audio medium.
IETE Technical Review, 2011
Abstract Image segmentation is an important step in image processing. Major advances in the field... more Abstract Image segmentation is an important step in image processing. Major advances in the field of medical imaging have provided physicians with powerful and non-invasive techniques to probe the structure, function, and pathology of the human body. This ...
In recent years, Active contours have been widely studied and applied in medical image analysis. ... more In recent years, Active contours have been widely studied and applied in medical image analysis. Active contours combine underlying information with high-level prior knowledge to achieve automatic segmentation for complex objects. Their applications include edge detection, segmentation of objects, shape modelling and object boundary tracking. This paper presents the development process of active contour models and describes the classical parametric active contour models, geometric active contour models, and new hybrid active contour models based on curve evolution and energy minimization techniques. It also discusses challenges and applications of active contour models in medical image segmentation.