wireless sensor networks attracting a great deal of research interest. accurate localization of sensor nodes is a strong requirement in a wide area of applications. in recent years, several techniques have been proposed for localization in wireless sensor networks. in this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...

With the evolution of electronic devices, such as 3D cameras, addressing challenges text localization in video (e.g., for indexing) is increasingly drawing attention multimedia and processing community. Existing methods focus on 2D their performance presence video, shadow areas associated with irregularly sized shaped text, degrades. This paper proposes first approach that successfully addresse...

conclusions radio-guided localization of non-palpable breast lesions is an acceptable method because of technical facilitation, accurate localization and complete excision with limited complications. so it can be recommended as an alternative method for wire-guided localization. results pathologic results were benign in 90.5% and malignant in 9.5% of patients. post-operative margin of lesion wa...

Let [Formula: see text] be a commutative Noetherian ring. For finitely generated text]-module text], Northcott introduced the reducibility index of which is number submodules appearing in an irredundant irreducible decomposition submodule text]. On other hand, for Artinian Macdonald proved that sum-irreducible representation does not depend on choice representation. This called sum-reducibility...

In this paper we have implemented an improved superimposed artificial text detection and inpainting method. Two stage frame works to remove unwanted text from images: Detection of text from image and removal of text using method of inpainting. Smoothing is used to bring more efficiency and reduction of noise and unwanted connected components at the first. With the use of feature extraction, str...

Text embedded in video sequences is very important to semantic indexing and content-based retrieval system, especially for large scale news collection. However, its detection and extraction is still an open problem due to the variety of its size and the complexity of the backgrounds. In this paper, we propose an approach for automatic Arabic-text localization based on a novel method for text-li...

In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural network (CNN). First, we propose the inception region proposal network (InceptionRPN) and design a set of text characteristic prior bounding boxes to achieve high word recall with only hundred level candidate proposals. Nex...

MOTIVATION Predicting the subcellular location of proteins is an active research area, as a protein's location within the cell provides meaningful cues about its function. Several previous experiments in utilizing text for protein subcellular location prediction varied in methods, applicability and performance level. In an earlier work we have used a preliminary text classification system and f...

In the paper, we propose a camera-based assistive system for visually impaired or blind persons to read text from signage and objects that are held in the hand. The system is able to read text from complex backgrounds and then communicate this information aurally. To localize text regions in images with complex backgrounds, we design a novel text localization algorithm by learning gradient feat...

In this paper, we propose a text detection method based on a feature vector generated from connected components produced via the stroke width transform. Several properties, such as variant directionality of gradient of text edges, high contrast with background, and geometric properties of text components jointly with the properties found by the stroke width transform are considered in the forma...