NDLI: Semi-automatic object segmentation using colour invariance and Graph Cuts

Content Provider	IET Digital Library
Author	Yuan, Xingsheng Xiang, Fengtao Wang, Zhengzhi
Abstract	Conventional semi-automatic or interactive methods, which require a small amount of user inputs for region segmentation of objects, have obtained the best segmentation results. A new semi-automatic segmentation technique by using coloured scale-invariant feature transform (CSIFT) to extract seed pixels in Graph Cuts is introduced here. First, CSIFT is used to extract feature points of objects in the image. Then, a voting process is used to extract the matched points as object seeds. The detailed technique via s–t Graph Cuts has been presented, and a new segmentation energy cost function with two colour-invariant descriptors has been proposed: colour-name descriptor and colour-shade descriptor. The colour-name descriptor introduces high-level considerations resembling top-down intervention, and the colour-shade descriptor allows us to include physical consideration derived from the image formation model capturing gradual colour surface variations and provides congruencies in the presence of shadows and highlights in the segmentation. The experimental results prove that the proposed method provides high-quality segmentations with object details.
Starting Page	69
Ending Page	77
Page Count	9
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 2, Feb (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0154
Journal	IET Image Processing
Publisher Date	2013-10-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Colour Invariance Colour Name Descriptor Coloured Scale Invariant Feature Transform Combinatorial Mathematics Computer Vision And Image Processing Technique CSIFT Energy Cost Function Gradual Colour Surface Variations Graph Cuts Graph Theory Image Colour Analysis Image Formation Model Image Segmentation Integral Transforms Interactive Method Interactive System Object Detection Optical, Image And Video Signal Processing Region Segmentation Seed Pixel Extraction Semiautomatic Method Semiautomatic Object Segmentation Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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