Results 141 to 150 of about 3,740 (194)

Saliency Detection Based on Multiple-Level Feature Learning. [PDF]

Entropy (Basel)
Li X, Liu Y, Zhao H.
europepmc   +1 more source

A Comprehensive Method for Example-Based Color Transfer with Holistic-Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration. [PDF]

Entropy (Basel)
Wang Z, Zhou J, Wang S, Wang N.
europepmc   +1 more source

Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms. [PDF]

Sensors (Basel)
Zhuang ZH, Tsai HP, Chen CI.
europepmc   +1 more source

Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation

Irbm, 2019
Abstract The automated brain tumor segmentation methods are challenging due to the diverse nature of tumors. Recently, the graph based spectral clustering method is utilized for brain tumor segmentation to make high-quality segmentation output. In this paper, a new Walsh Hadamard Transform (WHT) texture for superpixel based spectral clustering is ...
M. Angulakshmi, G.G. Lakshmi Priya
exaly   +4 more sources

An inherently interpretable deep learning model for local explanations using visual concepts. [PDF]

PLoS One
Ullah MA, Zia T, Kim J, Kadry S.
europepmc   +1 more source

Insights into the Impact of Artificial Intelligence on Psoriasis Treatment Strategies: A Mini Review. [PDF]

Indian Dermatol Online J
Prithiviraj A, Aarthi MA, Venkateswaramurthy N.   +2 more
europepmc   +1 more source

Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security, 2021
With the extensive application of deep acquisition devices, it has become more feasible to access deep data. The accuracy of image segmentation can be improved by depth data as an additional feature. The current research interests in simple linear iterative clustering (SLIC) are because it is a simple and efficient superpixel segmentation method, and ...
Chiranji Lal Chowdhary
semanticscholar   +3 more sources

Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC)

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, Akira Furukawa, Ayako Taniguchi, Tomoko Tateyama, Shuzo Kanasaki   +4 more
semanticscholar   +3 more sources

IFT-SLIC: A General Framework for Superpixel Generation Based on Simple Linear Iterative Clustering and Image Foresting Transform

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, Ananda Shankar Chowdhury, Alexandre Xavier Falcao, Paulo A. Vechiatto Miranda   +3 more
semanticscholar   +3 more sources