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Showing 1 to 6 of 6 for “"superpixel segmentation"”.
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Superpixel Segmentation Systems: Design and Analysis
Image segmentation is a partitioning of an image into distinct groups of pixels (“regions”), each region preferably spatially connected, where each region ideally corresponds to an object or other semantically meaningful scene component. In this dissertation we discuss supervised evaluation of …
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Superpixel Segmentation of Outdoor Webcams to Infer Scene Structure
… a lot of memory. This thesis explores the use of superpixels to address these issues. Superpixels, an approach to image segmentation, over-segment a scene but attempt to ensure that each segment lies on only one scene element. Applying superpixels to webcams reduces the e∩¼Çect of noise on …
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Map-guided hyperspectral image superpixel segmentation using semi-supervised partial membership latent Dirichlet allocation
Many superpixel segmentation algorithms which are suitable for the regular color images like images with three channels: red, green and blue (RGB images) have been developed in the literature. However, because of the high dimensionality of hyperspectral imagery, these regular superpixel …
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StructureTransfer: A Scene Parsing Framework via Graph Matching for Images and Point Clouds
… and point clouds. For point clouds, a coarse segmentation is implemented to obtain an initial distribution for the objects. For images, superpixel segmentation is implemented and StructureTransfer is carried out. StructureTransfer is a model to find similar regions across scenes. The two …
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Techniques for Processing Airborne Imagery for Multimodal Crop Health Monitoring and Early Insect Detection
… visible spectrum images. The first method used a superpixel segmentation approach and achieved a recognition rate of 93.9%, although the processing time was high. The second method used an approach based upon texture and color and achieved a recognition rate of 95.2% while improving upon the …
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Image Analysis Techniques for LiDAR Point Cloud Segmentation and Surface Estimation
… density is the only discriminating feature. The segmentation of these point clouds is challenging for several reasons, including the fact that the points are not associated with a regular grid. Moreover, the presence of noise, particularly impulsive noise with varying density, can make it …