Features Extraction of Soil Image
Abstract: In image processing, Statistical, geometrical features are used to describe the texture of an image region. The signal processing methods involve enhancing original image using filters and calculating the features of the transformed images. In this paper, color moment, Hsv, wavelet transform and gabor filter are applied to the original images to extract the texture features of soil images for classification. Results on a database of soil images belonging different types of Soils show that proposed method performs soil classification effectively.
Keywords: color moment, Hsv, wavelet transform, gabor filter
How to Cite?: Sneha Pethkar, S. V. Phakade, "Features Extraction of Soil Image", Volume 7 Issue 2, February 2018, International Journal of Science and Research (IJSR), Pages: 859-862, https://www.ijsr.net/getabstract.php?paperid=ART2018156, DOI: https://dx.doi.org/10.21275/ART2018156