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In this paper, we provide a method to recognize weed seeds based on computer vision. According to the stability and genetic characteristics described in phytotaxonomy for weed seeds. Image processing method encompasses threshold segmentation and smooth processing etc, nine features parameters are extracted by image processing, which keep RST invariance. The principal components analysis method is...
This paper provides a sorting method for the identification of leguminous weed seeds by using clustering. The image processing methods are made use of threshold segmentation, smooth processing and edge detection etc, as well as the image processing algorithm is delivered. According to the stability and genetic characteristics describes in phytotaxonomy for leguminous weed seeds, the feature set includes...
This paper deals with the problem of recognizing textures in images. For this purpose we employ a technique based on the fractal dimension (FD) and a new fractal dimension estimating method is proposed by taking the area instead of the volume covering in box-counting to estimate the FD. Three FD features are based on the original image, the above average/high gray level image, the below average/low...
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