Results 251 to 260 of about 127,282 (272)
Some of the next articles are maybe not open access.
Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method
The 8th International Conference of Biotechnology, Environment and Engineering Sciences, 2020Estimating the total biomass of cultivates in aquaculture plantations (fisheries, mussel plants, seaweed farms and compound sites) remains to be an issue for the industry and the researchers alike. There has been a diverse array of approaches towards this issue, like using markers, manually stapling the leaflets, weighting the actual mass of the ...
openaire +1 more source
CT Image Analysis of Gastrointestinal Tumors Based on Simple Linear Iterative Cluster Algorithm
Journal of Medical Imaging and Health Informatics, 2019Objective: Gastrointestinal cancer is a very common disease at present. The purpose of this experiment is to use CT scanning technology and Simple Linear Iterative Cluster (SLIC) algorithm to analyze and fuse the scanning results, to explore the imaging characteristics of gastrointestinal neuroendocrine tumors by CT scanning and its application value ...
Wentao Huang +3 more
openaire +1 more source
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
Semi-supervised image segmentation in order to get a divided image from the tag portion. In this paper, a new semi-supervised image segmentation framework with global boundaries of probability (gPb) and simple linear iterative clustering (SLIC) is proposed.
Ma Junliang, Wang Xili, Xiao Bing
openaire +1 more source
Semi-supervised image segmentation in order to get a divided image from the tag portion. In this paper, a new semi-supervised image segmentation framework with global boundaries of probability (gPb) and simple linear iterative clustering (SLIC) is proposed.
Ma Junliang, Wang Xili, Xiao Bing
openaire +1 more source
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
In this paper, we propose an automated method for assessment of small bowel contraction movement based on the simple linear iterative clustering (SLIC) with cine-MRI. In our proposed method, the small bowel in each frame is considered as a super-pixel and is first segmented by the use of SLIC.
Yen-Wei Chen +4 more
openaire +1 more source
In this paper, we propose an automated method for assessment of small bowel contraction movement based on the simple linear iterative clustering (SLIC) with cine-MRI. In our proposed method, the small bowel in each frame is considered as a super-pixel and is first segmented by the use of SLIC.
Yen-Wei Chen +4 more
openaire +1 more source
Simple Linear Iterative Clustering Based Tumor Segmentation in Liver Region of Abdominal CT-scan
2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), 2017Accurate tumor segmentation from CT scans of liver is a crucial stage in diagnosis. We have proposed a novel framework for automatic segmentation of tumor using Simple Linear Iterative Clustering (SLIC) technique. This approach generates super pixels and thus reduces number of regions in the segmentation.
H. L. Aravinda, M. V. Sudhamani
openaire +1 more source
2015 International Conference on Orange Technologies (ICOT), 2015
Image segmentation is one of the most popular applications in contemporary computer vision and image processing field. In this paper, a novel segmentation framework is proposed based on Simple Linear Iterative Clustering (SLIC) and graph-based semi-supervised learning (graph-based SSL).
Junliang Ma, Xili Wang, Bing Xiao
openaire +1 more source
Image segmentation is one of the most popular applications in contemporary computer vision and image processing field. In this paper, a novel segmentation framework is proposed based on Simple Linear Iterative Clustering (SLIC) and graph-based semi-supervised learning (graph-based SSL).
Junliang Ma, Xili Wang, Bing Xiao
openaire +1 more source
Detection of Primary Glaucoma in Humans Using Simple Linear Iterative Clustering (SLIC) Algorithm
2019It is a well-known fact in the world that the glaucoma is the second largest disease which is affecting the human beings in the world. Proper care has to be taken to avoid this at an early stage as this would result in the loss of vision in the humans. This occurs due to the increase in the pressure in the eyes, where it bursts the nerve fibres leading
G. Pavithra +2 more
openaire +1 more source
2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
Image representation based on super pixels has become indispensable for improving efficiency in Computer Vision systems. Object recognition, segmentation, depth estimation, and body model estimation are some important problems where super pixels can be applied.
Eduardo Barreto Alexandre +3 more
openaire +1 more source
Image representation based on super pixels has become indispensable for improving efficiency in Computer Vision systems. Object recognition, segmentation, depth estimation, and body model estimation are some important problems where super pixels can be applied.
Eduardo Barreto Alexandre +3 more
openaire +1 more source
Simple linear iterative clustering and ConvNeXt for mapping vectorize tree species
Journal of Applied Remote Sensing, 2023Ni Wang, Tao Pu, Taisheng Chen
openaire +1 more source