This thesis explores component trees, hierarchical structures from Mathematical Mor-phology, and their application to image retrieval and related tasks. The distinct com-ponent trees are analyzed and a novel classification into two superclasses is proposed,as well as a contribution to indexing and representation of the hierarchies using den-drograms. The first contribution t...

The manual Chinese word segmentation dataset WordSegCHC 1.0 which was built by eight crowdsourcing tasks conducted on the Crowdflower platform contains the manual word segmentation data of 152 Chinese sentences whose length ranges from 20 to 46 characters without punctuations. All the sentences received 200 segmentation responses in their corresponding crowdsourcing tasks and the numbers of val...

Text-detection is a well-established topic within the document recognition domain, but detecting text in natural scenes has proved to be considerably harder due to the large variability of text appearances, and due to dominating clutter. In this paper, we begin with a practical model for text appearance and use it to motivate the design of a text detection system consisting of two stages: a hyp...

An adaptive minimum symbol error rate (MSER) linear multiuser detector (MUD) is proposed for direct sequence code division multiple access (DS-CDMA) systems employing multilevel pulseamplitude modulation ( -PAM) scheme. Based on a kernel density estimation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the ...

In this paper, we describe a system for Android smartphones which detects and extracts Chinese text, and translates it into English. Most of the processing is done on a server; the user simply takes a picture with no other input. In this project we are mainly concerned about the text detection part, for which we use the MSER algorithm; the Optical Character Recognition (OCR) is based on Tessera...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

Abstract Background Minimally invasive spine surgery is dependent on accurate navigation. Computer-assisted navigation increasingly used in minimally (MIS), but current solutions require the use of reference markers surgical field for both patient and instruments tracking. Purpose To improve reliability facilitate clinical workflow, this study proposes a new marker-free tracking framework based...

In this paper analysis and comparison of various methods for text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast enhancement mechanism that enhances region stability of text patterns to remove th...