International Journal of Image Processing and Pattern Recognition
Volume 5, Issue 1 (2019)
Published
Table of contents
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Adaptive Visual Tracking for Human Motion Detection
Abstract: Abstract—Object detection is one of the fundamental steps for automated video analysis in many vision applications. Object detection in video is usually performed by background subtraction techniques. In the existing method they proposed object detection by pixel variation of the image from one frame to another and the background subtracted by the training process in the recorded videos. In the proposed method the object is detected in the live video …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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High Efficient Energy Harvesting by Solar Panel Using Polychromat Layer
Abstract: Abstract:- This project is used to harvest high amount of energy by solar panel using polychromat layer. Polychromat layer is the one which splits all kinds of radiation from the sun where the other solar panels without the polychromat layer can not absorb all types of radiation from the sun. This layer absorb all type of radiation from 10^-4 to 10^-8 while the others can’t absorb it. The complete rotation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 11–15 Read article
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Review on Medical Image Enhancement Techniques
Abstract: Abstract—Image enhancement is the process of improving visual quality of the image. In this paper, Image Processing Methods were implemented on CTA medical images for better understanding. LPFED with different kernels, GLTLPF, are the major techniques that were used to enhance images. The output results give more insights about the images and enhance the overall scope of finding more perceptions. Keywords: Medical Image, Image Enhancement, Filter, Gray Level, Edge, Computer …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 16–21 Read article
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Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article