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Reseach Article

Hybrid Object Detection and Image Recovery Techniques

by Upasana Sharma, Vineet Richariya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 5
Year of Publication: 2015
Authors: Upasana Sharma, Vineet Richariya
10.5120/ijca2015906552

Upasana Sharma, Vineet Richariya . Hybrid Object Detection and Image Recovery Techniques. International Journal of Computer Applications. 128, 5 ( October 2015), 30-33. DOI=10.5120/ijca2015906552

@article{ 10.5120/ijca2015906552,
author = { Upasana Sharma, Vineet Richariya },
title = { Hybrid Object Detection and Image Recovery Techniques },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 5 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number5/22870-2015906552/ },
doi = { 10.5120/ijca2015906552 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:20:37.226003+05:30
%A Upasana Sharma
%A Vineet Richariya
%T Hybrid Object Detection and Image Recovery Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 5
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the change of time arise the need to work on image processing. This paper gives work on two aspects of image. One Recovery or reconstruction of image and at the other end it is for object detection.This paper investigates the possibility of reconstruction of images. This paper is concerned with a removing corruption of an image and remove problem in image. We propose a new algorithm for solving one of the image restorations and reconstruction algorithm. At another end we also concentrate on object detection. The principal component of image analysis technique is image matching. This principal component became of extreme importance in different area of applications such as in navigation, guidance, automatic surveillance, robot vision. Experiments on a set of image restoration and reconstruction along with object detection show that proposed algorithm performs well enough.

References
  1. Purti Singh and DeeptiPandey, “Shape- Based Fish Recognition Using Neural Network”, International Journal of Emerging Research in Management &Technology (Volume-3, Issue-5) May 2014.
  2. Thirumalini.S ,Varunkumar.M and Vanisri, “Detection of Geo-Spatial Targets in High Resolution Remote Sensing Images”, International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014.
  3. Matteoli, S and Corsini, G, “Automated Underwater Object Recognition by Means of Fluorescence LIDAR”, Geoscience and Remote Sensing, IEEE Transactions on (Volume:53 , Issue: 1 ) Aug 2014
  4. Flora Dellinger, Julie Delon, YannGousseau, Julien Michel, Florence Tupin, “SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES”, IEEE Transactions on Geoscience and Remote Sensing, jun 2013.
  5. J. Chen, S. Paris, and F. Durand, "Real-Time Edge-Aware Image Processing with the Bilateral Grid," ACM Trans. Graphics, vol. 26, no. 3, 2007.
  6. R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, Pearson Education, 2002.
  7. Dr.S.Vijayarani and Mrs.M.Vinupriya, “Performance Analysis of Canny and Sobel Edge Detection Algorithms in Image Mining”, International Journal of Innovative Research in Computer and Communication Engineering Vol. 1, Issue 8, October 2013
  8. J.R Jensen, “Introduction to Digital Image Processing” A Remote Sensing Perspective 1996.
  9. C. Szegedy, A. Toshev, and D. Erhan, “Deep neural networks for object detection” In Advances in Neural Information Processing Systems (NIPS), 2013.
  10. Dumitru Erhan, Christian Szegedy, Alexander Toshev, and Dragomir Anguelov, “Scalable Object Detection using Deep Neural Networks”, Computer Vision Foundation 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Image fusion Image Restoration Image Registration Object Detection Image Processing Digital Image.