K-Means clustering with adaptive threshold for segmentation of hand images

被引：0
|
作者：
Trivedi, Sheifalee [1 ]
Nandwana, Bhumika [1 ]
Khunteta, Dinesh Kumar [1 ]
Narayan, Satya [1 ]
机构：
[1] Govt Engn Coll, Dept Comp Sci, Ajmer, India
来源：
2017 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT) | 2017年
关键词：
K-mean; Segmentation; Thresholding; Histogram;
D O I：
10.1109/CSNT.2017.35
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As we all know an image is an artifact that depicts visual perception. In order to extract information or modify those images we have to perform some operation on it. In this paper we present a methodology to segment hand images using modified k-means clustering with value of threshold and analysis of histogram. Experimental results show 97% accurate results so we can say proposed methodology is better then previous.
引用
收藏
页码：183 / 187
页数：5
相关论文
共 50 条
  • [31] Color Dependent K-Means Clustering for Color Image Segmentation of Colored Medical Images
    Yadav, Himanshu
    PrateekBansal
    KumarSunkaria, Ramesh
    2015 1ST INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), 2015, : 858 - 862
  • [32] Automatic segmentation of intravital fluorescence microscopy images by K-means clustering of FLIM phasors
    Zhang, Yide
    Hato, Takashi
    Dagher, Pierre C.
    Nichols, Evan L.
    Smith, Cody J.
    Dunn, Kenneth W.
    Howard, Scott S.
    OPTICS LETTERS, 2019, 44 (16) : 3928 - 3931
  • [33] LiDAR K-means clustering algorithm based on threshold
    Xia X.
    Zhu S.
    Zhou Y.
    Ye M.
    Zhao Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (01): : 115 - 121
  • [34] RANKED K-MEANS CLUSTERING FOR TERAHERTZ IMAGE SEGMENTATION
    Ayech, Mohamed Walid
    Ziou, Djemel
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 4391 - 4395
  • [35] Nonparametric K-means clustering-based adaptive unsupervised colour image segmentation
    Khan, Zubair
    Yang, Jie
    PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (01)
  • [36] EDGE-ADAPTIVE IMAGE SEGMENTATION BASED ON SEAM PROCESSING AND K-MEANS CLUSTERING
    Chen, Tse-Wei
    Su, Hsiao-Hang
    Chen, Yi-Ling
    Chien, Shao-Yi
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3049 - 3052
  • [37] Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm
    Li, Yue
    Chu, Xiaoquan
    Tian, Dong
    Feng, Jianying
    Mu, Weisong
    Applied Soft Computing, 2021, 113
  • [38] Efficient image segmentation and implementation of K-means clustering
    Deeparani, K.
    Sudhakar, P.
    MATERIALS TODAY-PROCEEDINGS, 2021, 45 : 8076 - 8079
  • [39] Explainable Customer Segmentation Using K-means Clustering
    Khan, Riyo Hayat
    Dofadar, Dibyo Fabian
    Alam, Md Golam Rabiul
    2021 IEEE 12TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2021, : 639 - 643
  • [40] Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm
    Li, Yue
    Chu, Xiaoquan
    Tian, Dong
    Feng, Jianying
    Mu, Weisong
    APPLIED SOFT COMPUTING, 2021, 113
12345