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Contour extraction of stone slabs is the first-step for optimization of cutting the irregular stone slab in real time. A color image segmentation method to extract the stone slab contour in the complex background is proposed. Firstly, we define a sample window and detecting window in HSI color image space, and extract the image feature of sample window as the prior knowledge. Traverse the whole image...
As an efficient pre-processing technology, superpixel has been widely used in image segmentation, which improves the final results and reduces the complexity of the subsequent processing tasks. This paper presents an interactive image segmentation method based on the hierarchical superpixels initialization and region merging. It firstly proposes a novel hierarchical superpixels initialization framework...
Color image segmentation is an important topic in the image processing field. In most segmentation methods based on MRF-MAP, the segmentation quality is far behind requirement due to the absence of appearance models, and it is often suffering from the low computational efficiency of iterated calculations. To address these problems, the paper proposes a new segmentation method for color images based...
In order to speed up the convergence of GrabCut algorithm and enhance the accuracy of segmentation, this paper puts forward an algorithm of GrabCut color image segmentation based on region of interest (ROI). The user selects a ROI by dragging a rectangle. The GrabCut algorithm is used in ROI only. The object is then extracted automatically. The experimental results demonstrate that the new algorithm...
In this paper, a reliable pixel-based foreground-background segmentation technique for detecting object(s) of interest (OOI) from video sequence captured by a fixed camera is proposed. OOIs, used for further tracking or positioning applications, should be detected accurately from those moving (or still) objects even under variable illumination and the corresponding background model need to update...
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