نتایج جستجو برای: slic
تعداد نتایج: 218 فیلتر نتایج به سال:
We introduce a parallel implementation of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Our implementation uses GPU and the NVIDIA CUDA framework. Using a single graphic card, our implementation achieves speedups of 10x∼20x from the sequential implementation. This allow us to use the superpixel segmentation method in real-time performance. Our implementation is compatib...
In this paper, a novel superpixel-based approach is introduced for unsupervised change detection using remote sensing images. The proposed approach contains three steps: 1) Superpixel segmentation. The simple linear iterative cluster (SLIC) algorithm is applied to obtain lattice-like homogenous superpixels. To avoid discordances of the superpixel boundaries obtained from bi-temporal images, the...
In this paper, we propose a new method of image segmentation, named SLICAP, which combines the simple linear iterative clustering (SLIC) method with the affinity propagation (AP) clustering algorithm. First, the SLICAP technique uses the SLIC superpixel algorithm to form an over-segmentation of an image. Then, a similarity is constructed based on the features of superpixels. Finally, the AP alg...
BACKGROUND The purpose of the study was to verify different values of quality parameters of portal images in radiotherapy. MATERIALS AND METHODS We investigated image qualities of different field verification systems. Four EPIDs (Siemens OptiVue500aSi(®), Siemens BeamView Plus(®), Elekta iView(®) and Varian PortalVision™) were investigated with the PTW EPID QC PHANTOM(®) and compared with two...
Study Design Literature review. Objective To discuss the evaluation and management of subaxial cervical spine trauma (C3-7). Methods A literature review of the main imaging modalities, classification systems, and nonsurgical and surgical treatment performed. Results Computed tomography and reconstructions allow for accurate radiologic identification of subaxial cervical spine trauma in most cas...
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