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] Wheat ear counting using K-means clustering segmentation and convolutional neural network
    Xin Xu
    Haiyang Li
    Fei Yin
    Lei Xi
    Hongbo Qiao
    Zhaowu Ma
    Shuaijie Shen
    Binchao Jiang
    Xinming Ma
    Plant Methods, 16
  • [32] White Blood Cell Segmentation by Color-Space-Based K-Means Clustering
    Zhang, Congcong
    Xiao, Xiaoyan
    Li, Xiaomei
    Chen, Ying-Jie
    Zhen, Wu
    Chang, Jun
    Zheng, Chengyun
    Liu, Zhi
    SENSORS, 2014, 14 (09) : 16128 - 16147
  • [33] Cauliflower Disease Identification Using Image Segmentation Based On Pso K-Means Clustering
    Manjutha, M.
    Selvakumari, Sheela
    INTERNATIONAL JOURNAL OF LIFE SCIENCE AND PHARMA RESEARCH, 2022, 12 : 26 - 32
  • [34] Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images
    Nithya, A.
    Appathurai, Ahilan
    Venkatadri, N.
    Ramji, D. R.
    Palagan, C. Anna
    MEASUREMENT, 2020, 149
  • [35] White Blood Cell Detection and Segmentation from Fluorescent Images with an Improved Algorithm using K-means Clustering and Morphological Operators
    Ferdosi, Bilkis Jamal
    Nowshin, Sharmilee
    Sabera, Farzana Ahmed
    Habiba
    2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT), 2018, : 565 - 569
  • [36] Segmentation of Terahertz imaging using k-means clustering based on ranked set sampling
    Ayech, Mohamed Walid
    Ziou, Djemel
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (06) : 2959 - 2974
  • [37] A Survey on Various K-Means algorithms for Clustering
    Singh, Malwinder
    Bansal, Meenakshi
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2015, 15 (06): : 60 - 65
  • [38] A REGULARIZED K-MEANS AND MULTIPHASE SCALE SEGMENTATION
    Kang, Sung Ha
    Sandberg, Berta
    Yip, Andy M.
    INVERSE PROBLEMS AND IMAGING, 2011, 5 (02) : 407 - 429
  • [39] A Fast K-Means Algorithm for the Segmentation of Echocardiographic Images Using DBMS-SQL
    Nandagopalan, S.
    Adiga, B. S.
    Dhanalakshmi, C.
    Deepak, N.
    2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, : 162 - 166
  • [40] Polycystic Ovary Cyst Segmentation Using Adaptive K-means with Reptile Search Algorithm
    Sheikdavood, K.
    Bala, M. Ponni
    INFORMATION TECHNOLOGY AND CONTROL, 2023, 52 (01): : 85 - 99
12345