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Aiming at the seeds of biological stability genetic character, we present a method to feature extraction based on visual invariance. By analyzing the weed seeds and hilum shape characteristics, nine shape features and seven moment invariants of visual invariance were extracted. Back Propagation (BP) Neural Network was used to identify weed seeds, and the relationship between the change of features...
In this paper, we adopt BP neural network as classification method and established the emotion model to simulate people's emotion based on image template. For achieving this purpose, firstly, we used 9 images which has different features of the famous psychologist Furnham's Shape & Color Test as templates and the basis of emotion classification. Then, we got a vector which has 27 dimensions by...
Chinese wines can be classification or graded by the micrographs. Micrographs of Chinese wines show floccule,stick and granule of variant shape and size. Different wines have variant microstructure and micrographs, we study the classification of Chinese wines based on the micrographs. Shape and structure of winespsila particles in microstructure is the most important feature for recognition and classification...
In this paper, we propose a real-time forest fire detection algorithm using artificial neural networks based on dynamic characteristics of fire regions segmented from video images. Fire region is obtained from image with the help of threshold values in HSV color space. Area, roundness and contour are computed for fire regions from each 5 continuous frames. The average and mean square deviation of...
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