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The methods of recognition and diagnosis of main maize leaf diseases using machine vision were studied in the paper. Threshold method was adopted to do image segmentation, and area-marking method was used calculating the num of disease as well as wiping off redundancy dots. And then Freeman link code was used to calculate form feature. Finally diseases were deduced according to bin-tree search method...
Segmentation of medical image, as the most essential and important step in the computer-aided diagnosis system, can greatly influence the system performance. Better segmentation to a great extent means better performance. Among many proposed segmentation algorithms, graph-based segmentation has become a hot one in the past few years because of the simple structure and rich theories. After the robust...
In the field of unsupervised texture classification, a combination of various families of methods was usually used for better classification results. However, the existing methods are usually used for specific application and evaluated with fixed window size. In this literature, we propose an effort to combine multi-scale features for unsupervised texture classification. The local binary pattern (LBP)...
Propose an algorithm to detect road area in front of the robot based on 2.5D range image to satisfy the robot to find passable road lies 20-80 m in front of it. The algorithm builds a 2.5D range image by calibrating ladar and camera. Then, it clusters points in single ladar frame using KNN. Geometrical and color information were used to segment the range image and then road area was abstracted. The...
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