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Maximally stable extremal regions

Known as: MSER 
In computer vision, maximally stable extremal regions (MSER) are used as a method of blob detection in images. This technique was proposed by Matas… 
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Related topics

Related topics

10 relations
Blob detectionComputer visionCorrespondence problemEight-point algorithm

Broader (1)

Feature detection (computer vision)

Papers overview

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2015
2015
A maximally stable extremal regions system-on-chip for real-time visual surveillance
This paper presents a novel implementation of the Maximally Stable Extremal Regions (MSER) detector on system-on-chip (SoC) using… 
2015
2015
Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions
This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main… 
2014
2014
Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions
The segmentation of scene text from the image background has shown great importance in scene text recognition. In this paper, we… 
Highly Cited
2014
Highly Cited
2014
Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regions
Text localization from scene images is a challenging task that finds application in many areas. In this work, we propose a novel… 
2012
2012
Feature-driven Maximally Stable Extremal Regions
The high repeatability of Maximally Stable Extremal Regions (MSERs) on structured images along with their suitability to be… 
2012
2012
A vehicle license plate recognition system based on analysis of maximally stable extremal regions
Vehicle License Plate Recognition (VLPR) system is a core module in Intelligent Transportation Systems (ITS). In this paper, a… 
2008
2008
Determination of maximally stable extremal regions in large images
Coping with ever-increasing data requires efficient algorithms. The topic of this work is segmentation; we present a new means of… 
Highly Cited
2007
Highly Cited
2007
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature… 
2007
2007
Real-Time Extraction of Maximally Stable Extremal Regions on an FPGA
This paper describes the implementation of a realtime maximally stable extremal region (MSER) detector. In order to reach real… 
Highly Cited
2005
Highly Cited
2005
Local features for object class recognition
In this paper, we compare the performance of local detectors and descriptors in the context of object class recognition. Recently… 
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