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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer System and Technology

Automatic Image Segmentation Using Marker Controlled Watershed and Overlap Ratio Based Region Merging

http://hdl.handle.net/20.500.12678/0000007705
http://hdl.handle.net/20.500.12678/0000007705
4c9d89d0-6e9a-4066-b9c6-573546209e80
3e561e4d-d0a1-4777-a3fe-f21319c533e3
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IEEE IEEE 2018 Khin Lay Mon.pdf (237 KB)
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Publication type
Conference paper
Upload type
Publication
Title
Title Automatic Image Segmentation Using Marker Controlled Watershed and Overlap Ratio Based Region Merging
Language en
Publication date 2018-10-11
Authors
Khin Lay Mon
Su Su Hlaing
Mie Mie Tin
Mie Mie Khin
Description
This system intends to produce the
correct, useful and meaningful segmented results for medical
analyzing tasks, objects detection and recognition in an
image. It is tested on two different kinds of datasets: medical
images and color natural image dataset. This system has also
achieved accuracy 93.01% for MRI brain images, 76.72%
for color natural images.
Keywords
Marker-controlled watershed, Gradient, Region Merging, Over-segmentation
Conference papers
IEEE GCCE
Oct-11/2018
2018 IEEE 7th Global Conference on Consumer Electronic (GCCE 2018)
Session 8 (pp-336-346)
Japan
Techno-Scientific Progress, Climate Change and the Energy Transition for Development
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