Ejection phase indices of left ventricular myocardial performance, mean velocity of circumferential fiber shortening (mVcf), mean systolic ejection rate (mSER), and ejection fraction (EF) were determined in 248 pediatric patients, utilizing left ventricular projections of cineangiograms. Heart rate significantly affected mVcf and mSER values in the normal group (r=0.74, 0.79, respectively). A m...

A novel approach is presented for synthetic aperture radar (SAR) image segmentation. By incorporating the advantages of maximally stable extremal regions (MSER) algorithm and spectral clustering (SC) method, the proposed approach provides effective and robust segmentation. First, the input image is transformed from a pixelbased to a region-based model by using the MSER algorithm. The input imag...

We describe an implementation of the Maximally Stable Extremal Region ([3], Sect. 2, MSER) feature detector and an immediate multi-dimensional generalization ([1], Sect. 2). We propose an algorithm (Sect. 3) that is essentially uniontree with path-compression and union-by-rank (see for instance [4]). However we do not use the N-tree graph of [4] as for the purpose of fitting ellipses to the MSE...

In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a percept...

Biometric technologies are automated methods of verifying or recognizing. This work is particularly targeted towards the SURF,HARRIS and MSER calculations for biometric fingerprint calculations .These three features are used parallel to get the better identification results, FAR is proved 0 with the three algorithms and FRR is 1 with the same i.e. SURF, HARRIS and MSER and matching the maximum ...

This paper introduces a novel real-time framework which enables detection, tracking and recognition of license plates from video sequences. An efficient algorithm based on analysis of Maximally Stable Extremal Region (MSER) detection results allows localization of international license plates in single images without the need of any learning scheme. After a one-time detection of a plate it is r...

In this study, we investigate the effects of mandatory social and environmental regulations (MSER) on firm innovation. 2008, Shanghai Shenzhen Stock Exchange in China published that mandate some public firms to disclose their governance information annual reports. As MSER apply only selected firms, provides an ideal setting for us observe Using a difference-in-differences with propensity-score-...

This paper discusses an algorithm to build a semisupervised learning framework for detecting cells. The cell candidates are represented as extremal regions drawn from a hierarchical image representation. Training a classifier for cell detection using supervised approaches relies on a large amount of training data, which requires a lot of effort and time. We propose a semisupervised approach to ...