Results 11 to 20 of about 34,853 (246)

Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach [PDF]

The Insight Journal, 2018
Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expensive per-pixel primitives with a higher-level abstraction, superpixels ...
Bradley C. Lowekamp, David T. Chen, Z. Yaniv, T. Yoo   +3 more
semanticscholar   +3 more sources

Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8

IEEE Access
Ground Penetrating Radar (GPR) is an effective non-destructive detection method, that is frequently utilized in the detection of urban underground defects because of its quick speed, convenient and flexible operation, and high resolution.
Niannian Wang, Zexi Zhang, Haobang Hu, Bin Li, Jianwei Lei   +4 more
doaj   +2 more sources

Evaluating segmentation methods for UAV-Based Spoil Pile Delineation [PDF]

Scientific Reports
Mine waste dumps consist of individual, blob-like spoil piles, each with unique geological and geotechnical attributes that contribute to the overall stability of the dump.
Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval   +3 more
doaj   +2 more sources

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

IOP Conference Series: Earth and Environmental Science
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, Amadea Sapphira, Endang Setyati   +2 more
semanticscholar   +2 more sources

Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8”

IEEE Access
In the above article [1], inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept within the article.
Niannian Wang, Zexi Zhang, Haobang Hu, Bin Li, Jianwei Lei   +4 more
doaj   +2 more sources

IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Active queries is an active learning method used for classification of remote sensing images. It consists of three steps: hierarchical clustering, dendrogram division, and active label selection.
S. Wuttke, W. Middelmann, U. Stilla
doaj   +1 more source

Color Image Segmentation Algorithm Combining SLIC with Improved Affinity Propagation Clustering [PDF]

Jisuanji gongcheng, 2018
When Adjacent Propagation(AP) clustering algorithm is used to segment color images,the similarity matrix has the problems of large scale,long clustering time,and high space complexity.Therefore,a new color image segmentation algorithm is proposed.A ...
CHENG Xianguo,WANG Mingjun
doaj   +1 more source

Robust Global Motion Estimation for Video Stabilization Based on Improved K-Means Clustering and Superpixel

Sensors, 2021
Obtaining accurate global motion is a crucial step for video stabilization. This paper proposes a robust and simple method to implement global motion estimation.
Rouwan Wu, Zhiyong Xu, Jianlin Zhang, Lihong Zhang   +3 more
doaj   +1 more source

IMPROVING MEDICAL IMAGE PREPROCESSING USING DENOISING TECHNIQUE

ICTACT Journal on Image and Video Processing, 2022
Image denoising is a main issue found in medical images and computer vision issues. There are different existing techniques in denoising image but the significant property of a decent image denoising model is that eliminate noise beyond what many would ...
P Thamilselvan
doaj   +1 more source

A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection

Remote Sensing, 2022
Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially ...
Qiuxia Li, Tingkui Mu, Hang Gong, Haishan Dai, Chunlai Li, Zhiping He, Wenjing Wang, Feng Han, Abudusalamu Tuniyazi, Haoyang Li, Xuechan Lang, Zhiyuan Li, Bin Wang   +12 more
doaj   +1 more source