Semantic segmentation is the task of clustering together parts an image that belong to same object class. webpages important for inferring contextual information from webpage. This study examines and compares deep learning methods classifying based on imagery obscured by semantic segmentation. Fully convolutional neural network architectures (UNet FCN-8) with defined hyperparameters loss functi...

Research in the Computer Vision Laboratory at the University of Maryland covers a broad range of topics and applications related to visual processing. This paper highlights some recent and ongoing research in the area of Document Understanding. The topics addressed include page segmentation, page decomposition, stroke interpretation , logo recognition, forms processing and the generation of syn...

The extraction of the main content web pages is widely used in search engines, but a lot irrelevant information, such as advertisements, navigation, and junk included pages. Such information reduces efficiency processing content-based applications. This study aimed to extract using DOM Tree rationality segmentation results based on entropy nodes from Tree. first step this research was classify ...

Skew estimation and page segmentation are the two closely related processing stages for document image analysis. Skew estimation needs proper page segmentation, especially for document images with multiple skews that are common in scanned images from thick bound publications in 2-up style or postal envelopes with various printed labels. Even if only a single skew is concerned for a document ima...

In recent years, many web applications are available to use. Most of these applications are poorly modeled or not modeled at all. One of the main modeling techniques is presentation modeling in which the layout of the page is shown. In this paper we present a new reverse engineering method, which takes a web page as input and returns a UML presentation model that represents the page. We applied...

For cell phone users and blind people using non-visual browsers, browsing Web by common browsers is quite inefficient due to the problem of information overload. This paper presents the TB-WPRO (Title-Block based Web Page Re-Organization) method, which hierarchically segments web pages into blocks using visual and layout information reflecting the web designers’ intent. TB-WPRO segments the web...

Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...

Empirical performance evaluation of page segmentation algorithms has become increasingly important due to the numerous algorithms that are being proposed each year. In order to choose between these algorithms for a speciic domain it is important to empirically evaluate their performance. To accomplish this task the document image analysis community needs i) standardized document image datasets ...