Segmenting endoscopic images using adaptive progressive thresholding: a hardware perspective
Journal of Systems Architecture: the EUROMICRO Journal
Fast image thresholding by finding the zero(s) of the first derivative of between-class variance
Machine Vision and Applications
Using connected components to guide image understanding and segmentation
Machine Graphics & Vision International Journal
An Efficient Parameterless Quadrilateral-Based Image Segmentation Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Traffic object detections and its action analysis
Pattern Recognition Letters
Texture image segmentation using combined features from spatial and spectral distribution
Pattern Recognition Letters
Image segmentation by unsupervised sparse clustering
Pattern Recognition Letters
Detecting and tracking regional outliers in meteorological data
Information Sciences: an International Journal
A double-threshold image binarization method based on edge detector
Pattern Recognition
International Journal of Intelligent Systems Technologies and Applications
A new region-based segmentation method for complex document image analysis
International Journal of Computational Science and Engineering
Automated hierarchical image segmentation based on merging of quadrilaterals
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
A hierarchical evolutionary algorithm for automatic medical image segmentation
Expert Systems with Applications: An International Journal
HebbR2-Taffic: A novel application of neuro-fuzzy network for visual based traffic monitoring system
Expert Systems with Applications: An International Journal
A multi-plane approach for text segmentation of complex document images
Pattern Recognition
A multi-scale framework for adaptive binarization of degraded document images
Pattern Recognition
Selecting an appropriate segmentation method automatically using ANN classifier
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Occluded text restoration and recognition
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Intelligent segmentation method for real-time defect inspection system
Computers in Industry
Characteristic analysis of Otsu threshold and its applications
Pattern Recognition Letters
Micro-blood vessel detection using K-means clustering and morphological thinning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A Segmentation Algorithm Based on an Iterative Computation of the Mean Shift Filtering
Journal of Intelligent and Robotic Systems
Two-dimensional clustering algorithms for image segmentation
WSEAS Transactions on Computers
An image segmentation algorithm using iteratively the mean shift
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Simulation studies of two-layer hopfield neural networks for automatic wafer defect inspection
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
An automatic body ROI determination for 3d visualization of a fetal ultrasound volume
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Automated two-dimensional K-means clustering algorithm for unsupervised image segmentation
Computers and Electrical Engineering
Maximum similarity thresholding
Digital Signal Processing
| Hi-index | 0.02 |
In this correspondence, we present a general recursive approach for image segmentation by extending Otsu's (1978) method. The new approach has been implemented in the scope of document images, specifically real-life bank checks. This approach segments the brightest homogeneous object from a given image at each recursion, leaving only the darkest homogeneous object after the last recursion. The major steps of the new technique and the experimental results that illustrate the importance and the usefulness of the new approach for the specified class of document images of bank checks is presented