LBP approach for classification of diseased fruit with LAB color spacing approach (latest Project )

http://www.techpacs.com/category/Project/32-183-681/LBP-approach-for-classification-of-diseased-fruit-with-LAB-color-spacing-approach 
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Project Description: 

Fruit quality is detected by employing color values of the fruit images in this M-tech level project implemented using MATLAB software. This project is categorized under image processing. Diseased fruit is detected by taking images of a fruit and then applying certain techniques for analyzing the quality. The shape, color and the size of the fruit are analyzed for classifying the fruit as per its quality. In this M-tech level project the diseased fruit from the bunch of fruits is found by analyzing the images of the fruit. The classification of the fruit as diseased or fresh is done on the basis of the values obtained after applying LBP approach and the LAB color space approach. In this project first the RGB image is converted to LAB color space. Conversion into LAB color space enhances or highlights the colors in a digital image. After the conversion of the image into LAB color space, LBP technique will be implemented for making the pattern of that image. LBP technique generates histogram of the color patterns in the image and this histogram contains information about all the features and the distribution of edges in the image. The disease in the fruit will be detected by analyzing the histogram of that image. This M-tech level project implemented using MATLAB software proposes an approach that detects the diseased fruit by enhancing the image by converting it into LAB color space and then identifying the disease in that fruit by applying the LBP technique. This project helps reducing manual labor as now the diseased fruit will be found from the images. This method is also believed to be more accurate and reliable as it diminishes all the chances of human error. 

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