SOIL TEXTURE CLASSIFICATION AND ANALYSIS WITH LOCAL TERNARY PATTERN (LTP) TECHNIQUE
Publication Date : 30/01/2018
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Texture analysis is one of the significant and useful task in image processing application. A lot of texture analysis models hae been developed and implemented over past few years. Though Local Binary Pattern (LBP) offers robust performance and of simple and dynamic approach, Local Binary Pattern (LBP) is very sensitive to noise and illumination change and gives wrong code. The Proposed paper utilizes Local Ternary Pattern (LTP) to extract the local features of soil texture. Test Soil images features are compared with all the training images using Euclidean’s distance. The image with lowest Euclide4an distance is recognized as the true image. If the distance between test image and training images is more than test image is compared as unrecognized image or match not found.
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