An MFF-SLIC Hybrid Superpixel Segmentation Method with Multi-Source RS Data for Rock Surface Extraction
نویسندگان
چکیده
منابع مشابه
gSLIC: a real-time implementation of SLIC superpixel segmentation
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...
متن کاملSuperpixel Segmentation: An Evaluation
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms. To include algorithms utilizing depth information we present results on both ...
متن کاملSegmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)
The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information. There are different types of segmentation methods among which using superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...
متن کاملA Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images
Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...
متن کاملSaliency Detection in Aerial Imagery Using Multi-Scale SLIC Segmentation
Object detection in a huge volume of aerial imagery requires first detecting the salient regions. When an image is over-segmented by the superpixels, the latters will adhere to object boundaries, resulting in their shape deformation and size variation, which can be used as the saliency measure. The normalized Hausdorff distances from the inner pixels to boundary of the superpixels are then tran...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9050906