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This paper research the use of computer visual and image information collected preprocessing based on pattern recognition of soybean Nitrogen element detect. When Nitrogen elements of the soybean plant changes, color and texture will be characteristic. By nurturing and collecting samples, This work analyzed the characteristics determine preprocessing, established a preprocessing system model. The...
A scheme for auto classification of skin symptom is introduced in this paper. It classifies different skin symptoms based on the principle of least Mahalanobis distance. Skin images with symptom to be identified will be preprocessed at first. Basic operations of preprocessing includes color space transformation, image segmentation based on threshold by self-adapting method, image post-processing by...
Most automatic speech recognition systems have concentrated exclusively on the acoustic speech signal, and therefore they are susceptible to acoustic noise. The benefits from visual speech cues have motivated significant interest in automatic lip-reading, which aims at improving automatic speech recognition by exploiting informative visual features of a speaker's mouth region, which means speaker...
This paper proposes a mosaic algorithm based on SIFT(Scale Invariant Feature Transform). Keypoints and their descriptors are exacted by SIFT, which ensures the algorithm robust to translation, rotation, noise and scalling. Then proposed matching algorithm is used to match the keypoints. First, rough match pairs are obtained by Nearest Neighbor algorithm. Second, match rate information of the neighbor...
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