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Graph cut based interactive segmentation is useful to extract objects from images. Color and gradient constraints are two terms appearing in most of energy functions of related methods. In order to balance the two constraints, state-of-theart methods adopt a pre-given fixed weight. However, different images and even different parts in a single image have different demands for proportion of the two...
In order to study the feasibility of the computerized grading system of pears with rich spots, large amount of pears are put orderly in a light box, where images of different aspects of them are captured by cameras which are connected to the computer. Additionally, two methods are proposed to remove the spots on the surface of pears in the image to reduce their effect on defect detection. And advantages...
In order to realize the automatic grading system of pear's appearance quality based on computer vision, a grading system is constructed which includes hardware and software environment. It includes transport unit, control module, image acquisition module, and image processing and recognition module. It can realize automatic feature extraction. The features include shape, color and defect. According...
In this paper, we propose a novel approach that combines particle filter tracking and 3D graph cut based segmentation to achieve silhouette tracking against drastic scale change and occlusion. The segmentation module offers particle filter tracking procedure the target shape information to compensate spatial information loss in the histogram based particle filter tracking process. Meanwhile, particle...
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