NDLI: Fine feature sensitive marching squares

Content Provider	IET Digital Library
Author	Gong, Sui Newman, Timothy S.
Abstract	A new contouring method for producing region boundaries in two-dimensional (2D) scalar-value image datasets (such as grey-scale intensity images from a digital camera or X-ray device) with sub-pixel precision is introduced here. The method, fine feature sensitive marching squares (FFS-MS), extends MS isocontouring to produce an isocontour that preserves fine-scale features (which are often incorrectly recovered by standard MS). This extension is the 2D analogue of Kaneko and Yamamoto's volume preserving marching cubes algorithm. It has several phases. First, it recovers an isocontour using standard MS. Then, it produces a new dataset with data values estimated by treating the recovered contour as the actual boundary. Using this new dataset, it next compares that dataset's estimated data values with the data values at corresponding locations in the original dataset. Finally, the method adjusts the original dataset's pixel values at every pixel location, where there is a high discrepancy between the original data value and the estimated data value. It iteratively repeats its phases until an optimality criterion is satisfied. Experimental analyses of FFS-MS are also presented. The analyses focus on FF recovery in comparison with the standard MS.
Starting Page	796
Ending Page	802
Page Count	7
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 9, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.1124
Journal	IET Image Processing
Publisher Date	2017-07-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Scalar-value Image Dataset Computer Vision And Image Processing Technique Contouring Method Digital Camera FFS-MS Fine Feature Sensitive Marching Square Grey-scale Intensity Imaging Image Processing Optical, Image And Video Signal Processing Two-dimensional Scalar-value Image Dataset Volume Preserving Marching Cubes Algorithm X-Ray Device
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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