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Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise, and then the point set of sea-sky-line region...
Tree crown image segmentation is a major step of many applications, such as crown transparency estimation, virtual plant, and so on. Varying image characteristics caused by differing levels of foliation and fluctuating lighting conditions present a unique challenge for tree segmentation. For example, small leaves surrounded by bright sky, small openings among dense canopy, and mixed pixels. This paper...
The first task of computer vision-based unmanned aerial vehicle (UAV)'s autonomous landing is to recognize and track the runway using computer vision. In this paper, we discussed a simple method to recognize and track the runway in the image sequences using template matching. Firstly, the runway is separated from background using segmentation by threshold. Secondly, template design is initialized...
Fruits image segmentation, i.e. classifying the image into homogeneous regions, is a key step of image analysis and computer vision tasks. In this paper, an efficient segmentation method of fruit images by fuzzy clustering is presented. The new approach essentially employs a neural network based on adaptive resonance theory. This approach has the advantage of neural network computation, to improve...
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