Fast and Intelligent Determination of Image Segmentation Method Parameters
作者： Božidar Potočnik , Mitja Lenič
DOI: 10.1007/978-3-540-68127-4_11
关键词: Digital image 、 Artificial intelligence 、 Image texture 、 Segmentation-based object categorization 、 Automatic image annotation 、 Digital image processing 、 Feature detection (computer vision) 、 Pattern recognition 、 Computer science 、 Image segmentation 、 Scale-space segmentation
摘要: Advanced digital image segmentation framework implemented by using service oriented architecture is presented. The intelligence not incorporated just in a method, which controlled 11 parameters, but mostly routine for easier parameters’ values determination. Three different approaches are implemented: 1) manual parameter value selection, 2) interactive step-by-step selection based on visual content, and 3) fast intelligent determination machine learning. Intelligence of second third approach introduced end-users the repeated interaction with our prototype attempts to correctly segment out structures from image. Fast predicts new set current being processed knowledge models constructed previous successful (positive samples) unsuccessful (negative selections. Such pointed be very efficient fast, especially if we have many positive negative samples learning set.
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