Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The Traffic Sign Detection and Recognition (TSDR) system is one of the primary applications for Advanced Driver Assistance Systems (ADAS). TSDR has obtained a great deal of attention over the recent years. But, it is st...

A process for accurate text recognition of generic identification documents (ID) over cloud computing is presented. It consists of two steps, first, a smartphone camera takes a picture of the ID, which is sent to a cloud server; second, the image is processed by the server and the results are sent back to the smartphone. In the cloud server, image rectification, text detections and word recogni...

For the instance search task, we are given a set of query images with the corresponding textual meta-data and objects masks to retrieve video shots containing query objects from FLICKR video database. We extract meaningful regions in the key-frames using Maximally Stable Extremal Regions (MSER) and use SIFT descriptors for representation. We use standard Bag of visual Word (BoW) model to repres...

Automatically segmenting bone tissue in MRI scans requires robustness against poor signal-to-noise ratios, highly inconsistent lighting conditions, and variability within bone tissues. Because of these difficulties, very little literature exists on automatic MRI bone segmentation. Current state-of-the-art methods are either semi-automatic or rely on databases of prior manual segmentations. Here...

The problem of image segmentation is often considered in the framework graphs. In this context, two main paradigms exist: first, vertices a non-directed graph represent pixels (leading e.g. to watershed, random walker or cut approaches); second, directed connected regions, leading so-called morphological trees (e.g. component-trees shapes). Various approaches have been proposed for carrying out...

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...

Fetal MRI is a rapidly emerging diagnostic imaging tool. Its main focus is currently on brain imaging, but there is a huge potential for whole body studies. We propose a method for accurate and robust localisation of the fetal brain in MRI when the image data is acquired as a stack of 2D slices misaligned due to fetal motion. We first detect possible brain locations in 2D images with a Bag-of-W...

In this paper, we propose a novel adaptive reducedrank decision feedback (DF) receiver strategy based on the minimization symbol-error-rate (MSER) criterion for largescale multiple-antenna systems. In this strategy, a reduced-rank method for general parameter estimation using an adaptive joint and iterative preprocessing, decimation and filtering (JPDF) scheme is proposed for DF receive process...