Algorithms for clustering data
Algorithms for clustering data
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Pattern Recognition Letters
Image segmentation by histogram thresholding using hierarchical cluster analysis
Pattern Recognition Letters
Automatic shoe-pattern boundary extraction by image-processing techniques
Robotics and Computer-Integrated Manufacturing
Histogram Equalization-Based Thresholding
IEICE - Transactions on Information and Systems
Color homogram for segmentation of fine needle biopsy images
Machine Graphics & Vision International Journal
A new approach for image processing in foreign fiber detection
Computers and Electronics in Agriculture
Unsupervised range-constrained thresholding
Pattern Recognition Letters
Characteristic analysis of Otsu threshold and its applications
Pattern Recognition Letters
A new binarization method for non-uniform illuminated document images
Pattern Recognition
| Hi-index | 0.10 |
Threshold selection problem is similar to the clustering problem which can be formulated as one to find the number of clusters and a partition matrix from a given data set using the iterative or non-iterative algorithms. In this paper, a new threshold selection method based on the cluster analysis is proposed. Experimental results are provided to show the effectiveness of the proposed threshold selection method.