Please use this identifier to cite or link to this item:
http://digitalrepository.fccollege.edu.pk/handle/123456789/1518
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Bqa, Rabranea | - |
dc.contributor.author | Qureshi, Samia Asloob | - |
dc.contributor.author | Shakeel, Tanzeela | - |
dc.contributor.author | Naseer, Ateeqa | - |
dc.date.accessioned | 2022-04-21T10:32:30Z | - |
dc.date.available | 2022-04-21T10:32:30Z | - |
dc.date.issued | 2021-09-28 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1518 | - |
dc.description.abstract | Reverse Engineering on image contours plays a significant role in data reduction, transformation and deformation of shapes without the loss of reasonable quality. The mathematical basis of captured contours are used in various applied areas such as facial model- ing, animations, real time image processing applications, automatic sketching, shape matching, capturing hand drawn images and de- signing civil engineering, bio-medical and mechanical engineering objects etc. The authors do hope that this article can effectively provides algorithmic review for approximating outlines of planar images. Furthermore, it offers a sound analysis of pros and cons of specified techniques. It also delivers enhancements and opti- mizations via exploring the weaknesses of existing algorithms and attacking them through hybrid solutions. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | GA,Boundary Extraction, Contour Regeneration, Image Processing, NURBS, Curve Fitting, Spline Function, LSM | en_US |
dc.title | Reverse Engineering on Planar Contours: An Algorithmic Review | en_US |
Appears in Collections: | Computer Science Department |
Files in This Item:
File | Description | Size | Format | |
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5.1 DSIT 2021 Reverse Engineering on Planar Contours An Algorithmic Review.pdf | 736.34 kB | Adobe PDF | View/Open |
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