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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: Novel Algorithm for 2D To 3D Conversion Of HD Medical Images Using Depth Fusion Technique
Authors Name: Miss.Pooja Yuvraj Khaladkar , Prof. A.P.Mane
Unique Id: IJSDR2011026
Published In: Volume 5 Issue 11, November-2020
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
Keywords: HD, 2D to 3D, DIBR, Depth, CTSCAN, MRI, XRAY Image.
Cite Article: "Novel Algorithm for 2D To 3D Conversion Of HD Medical Images Using Depth Fusion Technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 11, page no.164 - 168, November-2020, Available :http://www.ijsdr.org/papers/IJSDR2011026.pdf
Downloads: 000337214
Publication Details: Published Paper ID: IJSDR2011026
Registration ID:192712
Published In: Volume 5 Issue 11, November-2020
DOI (Digital Object Identifier):
Page No: 164 - 168
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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