Identifying Tree Crowns from an Aerial Image

Authors

  • Navya Avvari  Computer Science Department, VR Siddhartha Engineering College, Student , Vijayawada, India
  • Dr. K. SuvarnaVani  Computer Science Department, VR Siddhartha Engineering College, Professor, Vijayawada, India
  • A. Jitendra  Computer Science Department, VR Siddhartha Engineering College, Assistant Professor, Vijayawada, India

Keywords:

Histogram Equalization, Thresholding, Edge Detection, CLAHE, Hough Corner Detection.

Abstract

This Paper presents a review of finding a tree crowns from a Satellite image and this is an Application for image processing. They are some modules to find out the tree crowns and different approaches to implement. Histogram Equalization (HE) is the one of the simple and effective techniques to enhancing the image quality. Segmentation plays a vital role to detect the objects, boundaries and other relevant data in the digital images. Watershed is the main Algorithm to find out the markers, which defines some spatial domain required for the satellite image.

References

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  2. Hui Zhang, Jason E.Fritts, Sally A. Goldman," Image Segmentation Evaluation: A Survey UnsupervisedMethods",2008
  3. Gaurav Y. Tawde, JayshreeKundargi, "An Overview offeatures Extraction Techniques in OCR for Indian ScriptsFocused on Offline Handwriting", International journal ofEngineering Research and Applications, Vol. 3, Issue 1, pp.919-926, Jan-Feb 2013

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Navya Avvari, Dr. K. SuvarnaVani, A. Jitendra, " Identifying Tree Crowns from an Aerial Image" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.267-269, September-October-2017.