International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
.
Follow Us On :
current issue
Volume-12,Issue-1  ( Jan, 2024 )
ARCHIVES
  1. Volume-11,Issue-12  ( Dec, 2023 )
  2. Volume-11,Issue-11  ( Nov, 2023 )
  3. Volume-11,Issue-10  ( Oct, 2023 )

Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Overlapped and Shadowed Tree Crown Segmentation based on HSI Color Model and Watershed Algorithm

Author :Senosy Arrish, Dzulkifli Mohamad

Article Citation :Senosy Arrish ,Dzulkifli Mohamad , (2018 ) " Overlapped and Shadowed Tree Crown Segmentation based on HSI Color Model and Watershed Algorithm " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 29-35, Volume-6,Issue-10

Abstract : Image provides valuable information to the human and this information could be used to take an effective decision such as information that comes from satellite sensors. Satellite images let the human to gain the information from the ground for a very wide area. The negative side of satellite images is the resolution still having low quality. Satellite image plays a vital role in many areas of our live, especially agriculture, where the human can calculate the crown of the tree for a very wide area in a very short time. The counting of the tree will not be accurate without getting good segmentation of these crowns. This work has applied segmentation algorithm to separate crown of coconut palm tree from shadow and the overlapped crown as well. The algorithm has exploited a HSI color model to differentiate the color of crown from the color of shadow. The result of using HIS color feature gives an impressive outcome. After crown detection the algorithm used morphological operation such as image filling to enhance the crown. The following step is removing noise or pixels which considered unwanted objects. Finally, the image was segmented using watershed after applying distance transform on the image. Since this research does not have ground information to measure the accuracy, the evaluation has been done manually, where the crown has been counted manually and calculated the accuracy of this work which is 73%. Keywords - Image Processing, Image Segmentation, Pattern Recognition, Computer Vision, Remote Sensing, Watershed Algorithm, Satellite Images.

Type : Research paper

Published : Volume-6,Issue-10


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-13946   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 65
| Published on 2018-12-27
   
   
IRAJ Other Journals
IJEEDC updates
Volume-12,Issue-1(Jan ,2024) Want to join us ? CLick here http://ijeedc.iraj.in/join_editorial_board.php
The Conference World

JOURNAL SUPPORTED BY

ADDRESS

Technical Editor, IJEEDC
Department of Journal and Publication
Plot no. 30, Dharma Vihar,
Khandagiri, Bhubaneswar, Odisha, India, 751030
Mob/Whatsapp: +91-9040435740