Texture-based image retrieval is a very di cult task, especially for retrieving images of natural scene. Such images contain multiple texture patterns that may vary in intensity, scale, and orientation but still look the same to humans. Existing methods have been successful in retrieving images that contain single uniform texture but their performance deteriorates when retrieving natural scene ...

Text extraction from natural scene images is an emerging field in computer graphics. Extracted text contains important information that can be used for various purpose like vehicle number plate detection to identify the vehicle, to provide information of surrounding to visually impaired persons, preservation of information of historical documents etc. Binarization is a key process in text extra...

Contrast statistics of the majority of natural images conform to a Weibull distribution. This property of natural images may facilitate efficient and very rapid extraction of a scene's visual gist. Here we investigated whether a neural response model based on the Wei bull contrast distribution captures visual information that humans use to rapidly identify natural scenes. In a learning phase, w...

Contrast statistics of the majority of natural images conform to a Weibull distribution. This property of natural images may facilitate efficient and very rapid extraction of a scene's visual gist. Here we investigated whether a neural response model based on the Weibull contrast distribution captures visual information that humans use to rapidly identify natural scenes. In a learning phase, we...