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http://dx.doi.org/10.6109/jkiice.2018.22.7.956

The Object Image Detection Method using statistical properties  

Kim, Ji-hong (Department of Information and Communication Engineering, Semyung University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.7, 2018 , pp. 956-962 More about this Journal
Abstract
As the study of the object feature detection from image, we explain methods to identify the species of the tree in forest using the picture taken from dron. Generally there are three kinds of methods, which are GLCM (Gray Level Co-occurrence Matrix) and Gabor filters, in order to extract the object features. We proposed the object extraction method using the statistical properties of trees in this research because of the similarity of the leaves. After we extract the sample images from the original images, we detect the objects using cross correlation techniques between the original image and sample images. Through this experiment, we realized the mean value and standard deviation of the sample images is very important factor to identify the object. The analysis of the color component of the RGB model and HSV model is also used to identify the object.
Keywords
mean Value; standard deviation; cross correlation; RGB; HSV;
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Times Cited By KSCI : 1  (Citation Analysis)
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