Results 151 to 160 of about 3,740 (194)

Detection of Primary Glaucoma in Humans Using Simple Linear Iterative Clustering (SLIC) Algorithm

open access: closedLecture Notes on Data Engineering and Communications Technologies, 2019
It 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
semanticscholar   +3 more sources

A Sample Enhancement Method Based on Simple Linear Iterative Clustering Superpixel Segmentation Applied to Multibeam Seabed Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Full-coverage and high-efficiency seabed sediment detection and identification are critical elements of digital marine construction that support the three-dimensional and thematic development of maritime spatial geographic information systems.
H. Hu   +5 more
semanticscholar   +1 more source

Simple linear iterative clustering and ConvNeXt for mapping vectorize tree species

Journal of Applied Remote Sensing, 2023
. We propose a pioneering approach for gathering data on the forest canopy, one that merges two cutting-edge technologies: ConvNext tiny and simple linear iterative clustering (SLIC) (ConvNeXt and SLIC vectorize for tree species mapping, CSVTSM).
Ni Wang, Tao Pu, Taisheng Chen
semanticscholar   +1 more source

Super-Pixel Segmentation of Remote Sensing Image Based on Improved Simple Linear Iterative Clustering Algorithm

Laser & Optoelectronics Progress, 2020
When using simple linear iterative clustering SLIC algorithm for super-pixel segmentation of remote sensing images there are problems of long running time and poor edge fitting Therefore a super-pixel segmentation algorithm of remote sensing image based ...
任欣磊 Ren Xinlei   +1 more
semanticscholar   +1 more source

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Appu Shaji, Pascal V Fua
exaly   +2 more sources

Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method

, 2020
Estimating 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.
Ç. Doğan
semanticscholar   +1 more source

Enhanced Algorithm of Superpixel Segmentation Using Simple Linear Iterative Clustering

International Conference on Developments in eSystems Engineering, 2019
Image segmentation process represents the main stage for most computer vision systems. This paper presents an improved algorithm based on simple linear iterative clustering (SLIC) to reduce the number of used seeds for threshold estimation as well as the
R. Al-azawi   +2 more
semanticscholar   +1 more source

Research on the optimization of simple linear iterative clustering algorithm in superpixel segmentation

4th International Conference on Telecommunications, Optics and Computer Science (TOCS 2023)
Superpixel-based image segmentation methods have gained significant attention due to their ability to reduce computational complexity while effectively preserving image boundary information.
Hefei Wang
semanticscholar   +1 more source

Koi varieties identification based zero parameter simple linear iterative clustering and support vector machine

IOP Conference Series: Earth and Environment
There’s currently 120 types of koi fish that has been bred around the world. The types of koi fish depend on the colour patterns and shapes they have. There’s alot of patterns that has similarity between one type with another.
Alexander Setiawan   +2 more
semanticscholar   +1 more source

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