Local scene colour can influence the visual detectability of an object or target, but so can the familiarity, meaning, and global organisation of the scene. The aim of this study was to test whether the effects of local scene colour on target detectability are secondary to global effects. A target-detection task was undertaken by human observers with coloured images of natural scenes that were ...

Corners in images represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. In this paper, three widely used corner detection algorithms, FAST (Features from Accelerated Segment Test), Eigen Value and Harris corner detection algorithms which are all based on intensity, were compared in stability, noise ...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract With the growing number of digital multimedia libraries, the need to efficiently index, browse and retrieve multimedia information is increased. Text embedded in images and video frames can help to identify the image information (e.g. somebody's na...

In the past few years, text in natural scene images has gained potential to be a key feature for content based retrieval. They can be extracted and used in search engines, providing relevant information about the images. Robust and efficient techniques from the document analysis and the vision community were borrowed to solve the challenge of digitizing text in such images in the wild. In this ...

Text detection in the real world images captured in unconstrained environment is an important yet challenging computer vision problem due to a great variety of appearances, cluttered background, and character orientations. In this paper, we present a robust system based on the concepts of Mutual Direction Symmetry (MDS), Mutual Magnitude Symmetry (MMS) and Gradient Vector Symmetry (GVS) propert...

Text Extraction from natural scene images has been done with various methodologies. Most of the existing systems mainly use color and edges for detecting the text. We propose a two stage hybrid text extraction approach by combining texture and CC-based information. Text in the image is detected and localized using first and second order statistical texture features. In the next stage CC extract...

Acknowledgement First and foremost, I would like to express my sincere gratitude to Prof. K. R. Ramakrishnan for giving me the encouragement, sagacious guidance and useful suggestions throughout the course of my internship. It has been a real learning experience to work under his guidance. His keen interest and prompt initiative has tremendously helped me to explore unknown areas. I am also tha...

In this paper, we present a texture-based text detection scheme for detecting text in natural scene images. This is a preliminary work towards a complete system of text detection, localization and recognition in order to help visually impaired persons. We have employed spatial histograms computed from gray-level co-occurrence matrices for texture coding and three classifiers have been evaluated...