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Abstract

For automatic optical classification of plants an image of in each case one plant is captured by a color video camera. The color video signals furnished by the color video camera are digitized and classified pixelwise in predetermined color classes which are associated on the one hand with the image of the plant and on the other hand with the image of the background. A digitized image of the plant designated by the color classes is stored in an image memory and evaluated by an image computer for classification of the plant. The segmentation of the image of the plant from the image of the background is carried out on the basis of the allocation of the pixels to the predetermined color classes and from the segmented image of the plant geometrical form features and color features are determined. Furthermore, the height of the plant is determined, for which purpose possibly two video cameras and a light pattern projector are employed. The color classifier used for color classification is configured so that it can learn the predetermined color classes by presentation of image fragments.

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First Claim