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Statistical region merging

Statistical region merging (SRM) is an algorithm used for image segmentation. The algorithm is used to evaluate the values within a regional span and… 
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Related topics

Related topics

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AlgorithmImage processingRegion growing

Broader (1)

Image segmentation

Papers overview

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2019
2019
Classification of Diabetic Retinopathy using Statistical Region Merging and Convolutional Neural Network
Diabetes Retinopathy is one of the complications of Diabetes Mellitus, which occurs in the retina of the eye. Patients will… 
2017
2017
Target recognition of floating raft aquaculture in SAR image based on statistical region merging
Floating raft aquaculture is a significant part of the mariculture, and its recognition is conducive to the dynamic monitoring of… 
2016
2016
Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method
In this paper, an optimization algorithm, utilizing a component measure of entropy, is developed for automatically tuning… 
2016
2016
Combining Genetic Algorithm with PDEs for Improving the Performance of Statistical Region Merging Based Object Extraction
A spectral-spatial model used for classification of remotely sensed images is presented in this paper. The proposed method… 
2015
2015
Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening
clinical parameter used to diagnose glaucoma eye disease. The thickness of the RNFL decreases as the intraocular pressure inside… 
2012
2012
Segmentation algorithm of high resolution remote sensing images based on LBP and statistical region merging
Remote sensing image segmentation is the basis of object-oriented classification of remote sensing images. It is important for… 
2012
2012
HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpretation of PolSAR data. This… 
2012
2012
Robust object detection in aerial imagery
We propose the saliency measure based on shape and size irregularity of the superpixels for salient region detections, and we… 
2010
2010
Remote sensing image segmentation based on statistical region merging and nonlinear diffusion
As remote sensing images are multi-sensor, multi-spectral, multi-temporal phase and multi-resolution, general image segmentation… 
2008
2008
General region merging based on first order Markov information theory statistical measures
A family of statistical region merging approaches based on a general region model is presented. Each region is modeled as an… 
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