NDLI: Automatic Image Segmentation Algorithm for Microscopic Images of Liquorice and Rhubarb

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Automatic Image Segmentation Algorithm for Microscopic Images of Liquorice and Rhubarb

Content Provider	ACM Digital Library
Author	Zaveri, Tanish Vyas, Shraddha Fataniya, Bhupendra Acharya, Sanjeev
Abstract	This paper proposes an automated algorithm for plant identification using microscopic images of powder of herbal plants. In current scenario, the task of identifying plant from its powder form is done by pharmaceutical companies, which perform this task manually. This process takes lots of effort and time. Microscopic image of powder contains varieties of information, which are important evidence for identification of the plant. With every image, different type of noise are present, which makes the segmentation as a critical job. In this paper, we are proposing an algorithm which performs this task automatically by a computer. Our method consists two steps: "Pre-Processing" and "Image Segmentation". Firstly, microscopic images of "Liquorice" and "Rhubarb" plants were taken. On those images Top-hat and Bot-hat transformation are performed. Wiener Filter is used for image smoothing. An image segmentation is performed using Otsu's thresholding algorithm and find region of interest. The extra blobs were removed using morphological operations. Our proposed algorithm shows the efficiency for successfully detection of Liquorice and Rhubarb plants are 91.37% and 92.94% respectively.
Starting Page	66
Ending Page	70
Page Count	5
File Format	PDF
ISBN	9781450343015
DOI	10.1145/2983402.2983422
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Segmentation Morphology Microscopic images
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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