Implementasi Algoritma Region Growing untuk Segmentasi Retakan Bidang Batuan

Mulkal Mulkal

Abstract


Crack is a factor that caused rock discontinuity. Rock discontinuity is an important input variable in slope stability analysis in open pit mining area. Slope stability analysis should be conducted periodically to prevent landslide which can cause damages and fatalities. The data acquisition of rock discontinuity commonly is taking place directly in the field on the slope to be analyzed, which is time consuming and expensive. The objective of this research is to review the image processing application to identify rock discontinuity in particular rock crack. The image processing approach which is applied in this research is segmentation using region growing algorithm. This algorithm was chosen because of its flexibility to reduce noise with tuning the criteria of threshold value. The algorithm was implemented in C++ programming language. 35 image samples were tested to rate the segmentation result. The result shows that this algorithm was quite successful to detect rock cracks. Furthermore the result can be optimized with increase the threshold value to minimize the isolated pixel which is noise.


Full Text:

PDF

References


Yu, H.G. (2004) Morphological Image Segmentation for Co-Aligned Multiple Images Using Watersheds Transformation. Master Thesis, Florida State University.

Gonzales, R.C. and Woods, R.E. (2008) Digital Image Processing. 3rd Ed. Pearson Prentice Hall: New Jersey.

Wang, M. and Lai, C.H. (2009) A Concise Introduction to Image Processing using C++. Chapman & Hall/CRC: Boca Raton, Florida.

Phillips, D. (1994) Image Processing in C. 2nd Ed. R&D Publications: Kansas.

Green, B. (2002) Raster Data Tutorial

http://www.pages.drexel.edu/~weg22/raster.html. Diakses tanggal 30 November 2010.

Marshall, D. Region Growing

http://www.cs.cf.ac.uk/Dave/Vision_lecture/node35.html#SECTION00172000000000000000. Diakses tanggal 25 Desember 2010.




DOI: https://doi.org/10.29103/techsi.v8i1.130

Article Metrics

 Abstract Views : 299 times
 PDF Downloaded : 36 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Mulkal Mulkal

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

 


Indexed by:

          

Google Scholar
   
 

 


© Copyright of Journal TECHSI, (e-ISSN:2614-6029, p-ISSN:2302-4836).

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