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Currently, feather and down category recognition is often done by man with a microscope, but this method has some disadvantages. So a feather and down category recognition system is proposed in this paper, and feather and down category recognition is done by computer automatically. After the image processing and segmentation using GA, the triangle node of two-value image of feather is to be recognized...
This paper proposes the video object segmentation using block-matching-based self-organization maps and a kernel function. A window covering a target object in a frame is split into units with some pixels. A vector with two elements is provided a unit to quantify its color attributes, and is presented to train a map. It is also presented to classify the units. The trained map then judges the class...
As to high-resolution remote sensing imagery classification based on object-orientated methodology, the precision is related to feature configuration and classification algorithm. In this paper, the IKONOS multi-spectral image is selected as sample data, and segmentated into many image objects. Firstly, the supervising classification is applied to extract land cover thematic information, based on...
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