Modified binary watershed transform for segmentation of agricultural products

Segmentation of agricultural products on a conveyor belt is a first step for product inspection. We consider a new algorithm to achieve segmentation. We use x-ray images which provide useful internal information on the state of the product. The product items considered vary in size, shape, gray-scale properties, and lie at random orientations. Many items touch and thus new techniques are necessary to detect each item at any orientation, estimate the number of touching items and their centers, and segment overlapping touching items to provide separate image filters for touching input items. Test results are presented for x-ray film and linescan images of various agricultural products including one extensive database.

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