OBJECTIVE One strategy to improve the effectiveness of prosthetic vision devices is to process incoming images to ensure that key information can be perceived by the user. This paper presents the first comprehensive results of vision function testing for a suprachoroidal retinal prosthetic device utilizing of 20 stimulating electrodes. Further, we investigate whether using image filtering can i...

Three dimensional mapping plays a major role particularly in the field of robotics, and is the foundation of most tasks that require more than a purely reactive interaction with the environment. The text at hand describes a way to acquire such maps. Starting with a first and fundamental step towards autonomous exploration and mapping, i.e., 2D localization of a mobile robot, the text describes ...

Theoretically, the helical edge states of two-dimensional topological insulators are protected from coherent backscattering due to nonmagnetic disorder provided electron interactions not too strong. Experimentally, edges typically do demonstrate systematic and robust quantization, at same time little is known about sub-Kelvin temperature behavior. Here, we report surprising localization in an 8...

Text in images contains useful information which can be used to fully understand images .This paper proposes an unified method to segment a text region from images such as Scene text images , Caption text & Document images using Contourlet transform . Contourlets not only possess the main features of wavelets (namely, multiscale and time-frequency localization), but also offer a high degree of ...

Most of the image retrieval systems published and implemented have focused on basic features like color, shape and texture of an image with little or no consideration of the included text region of the image. In this work, we have developed an image retrieval system that works on finding similar composite images containing graphical shapes as well as text from a database of thousands of images....

Text data present in images contain useful information for automatic explanation, indexing, and structuring of images. Extraction of this information involves detection, localization, tracking, extraction, enhancement, and recognition of the text from a given image. However variations of text due to differences in size, style, orientation, and alignment, as well as low image contrast and comple...

The systems currently available for content based image and video retrieval work without semantic knowledge, i.e. they use image processing methods to extract low level features of the data. The similarity obtained by these approaches does not always correspond to the similarity a human user would expect. A way to include more semantic knowledge into the indexing process is to use the text incl...

Text in video is useful and important in indexing and retrieving the video documents efficiently and accurately. In this paper, we present a new method of text detection using a combined dictionary consisting of wavelets and a recently introduced transform called shearlets. Wavelets provide optimally sparse expansion for point-like structures and shearlets provide optimally sparse expansions fo...

In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Transform. First, the Hough Transform for circles is performed on the Sobel gradient magnitude of the image to locate text. The located circles are filled to yield text regions, followed by Recursive XY Cuts to segment the ...