Results 21 to 30 of about 2,173 (213)
An Innovative Stepwise C-Means Clustering Approach for Classification of Adolescent Idiopathic Scoliosis. [PDF]
Orthop SurgThis study introduces a novel stepwise C‐means clustering approach for 3D classification of AIS, focusing on conservative treatment. The iterative process enhances subtype identification by integrating coronal and 3D data, offering better clinical understanding, high scalability, and automated parameter acquisition to optimize scoliosis management ...
Gong J +14 more
europepmc +2 more sources
FULLY AUTOMATIC APPROACHES FOR CROSSED-POINTS DETECTION IN WOVEN FABRIC RECOGNITION [PDF]
Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, 2019 Fabric analysis is done to determine fabric weave patterns used in the weaving process. The analysis of fabric-weave patterns still relied on human inspection until the middle of the 1980s.
ÖZDEMİR Hakan, YILDIZ Ali, UTKU Semih
doaj
Clustering-based task coordination to search and rescue teamwork of multiple agents
International Journal of Advanced Robotic Systems, 2019 It is important to have reasonable task coordination and path planning in rescue operations after a large-scale urban disaster. Whereas, there are many problems which can hamper rescue operations, such as communication obstacles, collapsed buildings, and
Haobin Shi +3 more
doaj +1 more source
Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesWe assessed the potential of Machine Learning (ML) for mapping crop growth in three flood irrigated fields. Results generated from ML algorithms were compared to the output generated by the ISODATA algorithm.
M. Arunachalam +4 more
doaj +1 more source
South African Journal of Science, 2021 This study presents a simple approach of spatiotemporal change detection of vegetation cover based on analysis of time series remotely sensed images.
Nndanduleni Muavhi
doaj +1 more source
ISODATA: a computer program for calculating isodata contours
, 1974 The computer program, ISODATA, is described for the calculation of isodata contours for a set of data specified numerically over a discrete, two- dimensional grid of points. (auth)
V. E. Anderson +5 more
openaire +2 more sources
Flow chart of ISODATA segmentation.
, 2014 Flow chart of the classification of clusters resulting from ISODATA segmentation with feature vector {T1, T2, ADC}. MRI parameter maps were generated from the multiparametric MRI data (top left).
Klaas Nicolay (175588) +3 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Studies have shown that Sentinel-2 images have advantages over Landsat images in impervious surface area (ISA) extraction. The performance of index-based methods can be affected by different binary methods and subject to seasonal variation.
Congmin Li +4 more
doaj +1 more source
Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.Abstract Tropical forests in sub‐Saharan Africa (SSA) harbor around one‐third of the world's species but are becoming more fragmented due to the expansion of human settlements and small‐scale agricultural (SCA) areas. This study systematically reviewed the approaches and methods used to analyze forest fragmentation and its impact on biodiversity in SSA,
Gillie Cheelo +4 more
wiley +1 more source
A New ISODATA Image Segmentation Algorithm Based on Intuitionistic Fuzzy
, 2011 ISODATA algorithm is capable of splitting and merging categories automatically. However, this kind of hard clustering fails to take into consideration the characteristics of image itself and human visual features.
Xi Wu Wang +5 more
core +1 more source