Detection of local features which are distinctive, invariant and discriminative is used to construct compact image representations in many computer vision applications. Achieving robustness against viewpoint change motivated the development of affine invariant detectors responding to image gradient or contrast changes, edges or corners. We focus on the Maximally Stable Extremal Regions (MSER) d...

The visual analysis of foods on social media by using food recognition algorithm provides valuable insight from the health, cultural and marketing. Food offers a means to automatically recognise as well useful information such calories nutritional estimation image processing machine learning technique. interest points in can be detected effectively Maximally Stable Extremal Region (MSER). As MS...

Ejection phase indices such as mean velocity of circumferential fiber shortening (V-cf), ejection fraction (EF), and mean normalized systolic ejection rate (MSER) are thought to reflect the level of left ventricular (LV) inotropic state. Although known to be influenced by changes in afterload, their response to altered preload is less certain. This question was examined in ten normal subjects s...

The classification of ultrasound scan images is important in monitoring the development prenatal and maternal structures. This paper proposes a big data system for Doppler that combines residual maximally stable extreme regions speeded up robust features (SURF) with decision tree classifier. algorithm first preprocesses before detecting extremal (MSER). A few essential are chosen from MSER regi...

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...