Paper Title

Novel Algorithm for 2D To 3D Conversion Of HD Medical Images Using Depth Fusion Technique

Authors

Miss.Pooja Yuvraj Khaladkar , Prof. A.P.Mane

Keywords

HD, 2D to 3D, DIBR, Depth, CTSCAN, MRI, XRAY Image.

Abstract

Three-dimension (3D) technology increases the visual quality as compared to two-dimensional (2D) technology. In present era every multimedia device needs 3D technology. The depth information is needed for the generation of 3D from 2D content. Therefore, conversion of 2D image into 3D has become an important issue in emerging 3D applications. This work presents a novel algorithm using depth fusion unit for 2D to 3D conversion of HD medical image, which is automatically convert 2D content into 3D content. In this work initially a novel algorithm is proposed. According to that algorithm, there is three different depth map are generated, which is smooth and edge, segmentation based, feature and color transformation based depth. After generation of all depth map apply depth fusion process which is generate real depth map. Generated depth content is pass from depth image based rendering (DIBR) process for generation of right and left view. A new approach is proposed for DIBR process. Here we will use Matlab 2014b t

How To Cite

"Novel Algorithm for 2D To 3D Conversion Of HD Medical Images Using Depth Fusion Technique", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 11, page no.164 - 168, November-2020, Available :https://ijsdr.org/papers/IJSDR2011026.pdf

Issue

Volume 5 Issue 11, November-2020

Pages : 164 - 168

Other Publication Details

Paper Reg. ID: IJSDR_192712

Published Paper Id: IJSDR2011026

Downloads: 000347199

Research Area: Engineering

Country: Osmanabad, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2011026

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2011026

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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