A Review on Image Based Soil Classification |
Author(s): |
| Priyanka Dewangan , Shri Shankaracharya Institute of Technology & Management; Vaibhav Dedhe, Shri Shankaracharya Institute of Technology & Management |
Keywords: |
| Soil Classification, Cone Penetration Test, Image Processing, Support Vector Machine |
Abstract |
|
This paper presents a review on image based soil classification techniques. In previous Classification methods there is requirement of an expert who observes the magnitude and trends of the signals in addition to any a priori information that might be available. In this paper an approach for automating this classification procedure is presented. There are methods available such as segmentation algorithm from which the salient features of these segments are extracted using boundary energy method. Based on the measured data and extracted features classifiers assign classes to the segments. They employ Decision Trees, ANNs and Support Vector Machines. In this first features extraction methods of image processing is applied to extract the features of soil sample images. Then database of sample images will be prepared and classification of soil will be done Using Support Vector Machine algorithm. |
Other Details |
|
Paper ID: IJSRDV6I60301 Published in: Volume : 6, Issue : 6 Publication Date: 01/09/2018 Page(s): 494-495 |
Article Preview |
|
|
|
|
