Dynamic Threshold Selection for Image Segmentation of Natural Structures Based upon a Performance Criterion
نویسنده
چکیده
One of the main tasks in precision agriculture deals with partially or totally unsupervised pesticide treatment of crops plants. To obtain precise plant location, images are usually thresholded to quickly separate foreground or relevant structure from background. Location is required to properly activate an action (spray fertiliser, water or pesticide, make a hole, grasp a weed). This study proposes a fuzzy logic based reasoning system able to dynamically select the best threshold to binarize a grey level image. The proposed algorithm is based upon a performance criterion previously stated that can vary depending on the application at hand. Results are performed on a wide set of real time sequence of images of a field of cauliflowers.
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تاریخ انتشار 2001