DocumentCode :
1793705
Title :
2D to 3D image transformation using wavelet technique
Author :
Agarwal, Mohini ; Sharma, Mukesh ; Sehgal, S. ; Shantanu
Author_Institution :
Amity Sch. of Eng. & Technol., Electron. & Commun. Eng., Noida, India
fYear :
2014
fDate :
7-8 Nov. 2014
Firstpage :
137
Lastpage :
141
Abstract :
In this paper, we have done a transformation of an image from 2d to 3d using wavelet analysis. Here we also compared the wavelet technique with other techniques namely stereo-photogrammetry & edge information technique. The image conversion from 2d to 3d can be done by finding the edges of an image. This edge detection can be used in various fields of image processing, image analysis, image pattern recognition, and computer vision, as well as in human vision. In this, we did our experiment using wavelet technique and the results when compared with the stereo photogrammetry and edge information techniques we find that the wavelet technique gives better result. From the past work, we have observed that Wavelet analysis is an easy method for 2D to 3D analysis.
Keywords :
computer vision; edge detection; photogrammetry; stereo image processing; wavelet transforms; 2D image transformation; 3D image transformation; computer vision; edge detection; edge information technique; human vision; image analysis; image conversion; image pattern recognition; image processing; stereo-photogrammetry; wavelet analysis; wavelet technique; Detectors; Educational institutions; Image edge detection; Noise; Three-dimensional displays; Wavelet analysis; Wavelet transforms; Binarization; Depth map; Smoothing; Wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
Type :
conf
DOI :
10.1109/MedCom.2014.7005991
Filename :
7005991
Link To Document :
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