Erwin, Erwin (2020) A COMPARATIVE ANALYSIS OF IMAGE SEGMENTATION METHODS WITH MULTIVARIOUS BACKGROUND AND INTENSITY. In: Transactions on Engineering Technologies International MultiConference of Engineers and Computer Scientists 2018. Springer publishing, Singapore, pp. 165-181. ISBN 978-981-329-808-8(Digital) 978-981-329-807-1(Hard cover)
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Abstract
Segmentation is the process of separating the object into parts that generally separates the foreground and background. The techniques proposed segmentation using different approaches and based on the problems in the background pattern and intensity of the image. There are 10 (ten) techniques used are Adaptive Threshold, Region Growing, Watershed, YCbCr-HSV, K-Means, Fuzzy C-Means, Mean Shift, Grab Cut, Skin Color HSV, and Otsu Gaussian. Spoken image using American Sign Language fingerspelling of ASL University, fingerspelling primary image and the retinal image of STARE. ASL fingerspelling is fingerspelling which is standard in sign language so that the application of these ten segmentation techniques can help maximize the application of pattern recognition. While the retinal image is used to separate the blood vessels. Measuring the quality of segmentation using the Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR), the experimental results show that all tested techniques that produce an average PSNR above 40dB, meaning segmentation techniques work well in both datasets. In ASL fingerspelling dataset, a technique that generates the highest PSNR Skin Color whereas techniques for segmentation of vessels on the Retinal dataset namely Adaptive thresholding technique.
| Item Type: | Book Section |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Dr Erwin Erwin |
| Date Deposited: | 11 Oct 2020 02:12 |
| Last Modified: | 11 Oct 2020 02:12 |
| URI: | http://repository.unsri.ac.id/id/eprint/36522 |
Available Versions of this Item
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A COMPARATIVE ANALYSIS OF IMAGE
SEGMENTATION METHODS WITH
MULTIVARIOUS BACKGROUND AND
INTENSITY. (deposited 20 Apr 2020 01:05)
- A COMPARATIVE ANALYSIS OF IMAGE SEGMENTATION METHODS WITH MULTIVARIOUS BACKGROUND AND INTENSITY. (deposited 11 Oct 2020 02:12) [Currently Displayed]
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