NDLI: Particle Analysis Using Improved Adaptive Level Set Method Based Image Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Sarkhawas, G. Bang, A. Dandawate, Y.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Telecommun., Vishwakarma Inst. of Inf. Technol., Pune, India (Sarkhawas, G.; Bang, A.; Dandawate, Y.)
Abstract	Particle analysis is one of the most difficult tasks in material science and technology. Detection of size and shape of particles is important for gaining information about the material as well as for better control over the quality of the product. Image processing techniques predominantly segmentation technique provides effective analysis of size and shape features of material particles by segregating contiguous particles which further helps in counting total number of particles in an image. This paper presents an improved adaptive level set segmentation technique by utilizing, an adaptive directional speed, stopping force based on weighted probability and mathematical morphological operations to overcome the disadvantages of false boundary detection and sensitivity to evolution curve's initial position which is present in the traditional level set methods. In this paper, the adaptive level set based image segmentation methodology is applied on different material science laboratory microscopic images in order to effectively achieve parameters such as particle number, area, size, roundness and size distribution, etc.
Starting Page	747
Ending Page	751
File Size	286378
Page Count	5
File Format	PDF
ISBN	9781479968923
DOI	10.1109/ICCUBEA.2015.149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle Image segmentation Shape Atmospheric measurements Level set Image processing Force Particles counting Morphology Size analysis Level set segmentation Mathematical model
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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