detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Image fingerprinting systems aim to extract unique and robust image descriptors (in analogy to human fingerprints). They search for images that are not only perceptually similar but replicas of an image generated through mild image processing operations. In this paper, we examine the use of color descriptors based on a 24-color quantized palette for image fingerprinting. Comparisons are provide...

In this paper, a new concept is introduced for economy image segmentation applicable in an earlier designed object based motion estimation algorithm. The image segmentation is based on simple features, like average grayscale within a segment, and uses spatial-temporal predictions in order to economize the segmentation procedure. Focus is on the segmentation process and the robust application of...

An alkalophilic fungal strain, Aspergillus versicolor PF/F/107 isolated from poultry farm produced alkaline protease at 40C and 9.0 pH. Protease showed compatibility with commercial detergents and retained 50-76% of its original activity at 40C in the presence of detergents in the following order: Ghadi, Ujalla, Surf excel, Ariel and Tide indicating its suitability for application in detergen...

Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take the structural relationship between objects into account. In this paper we describe two models for image representation which integrate structural features and content features in a tree or a graph structure. The effe...

Thousands of sensors are connected to the Internet and many of these sensors are cameras. The “Internet of Things” will contain may “things” that are image sensors. This vast network of distributed cameras (i.e. web cams) will continue to exponentially grow. In this paper we examine simple methods to classify an image from a web cam as “indoor/outdoor” and having “people/no people” based on sim...

This paper presents the study on identification and classification of food grains using different color models such as L*a*b, HSV, HSI and YCbCr by combining color and texture features without performing preprocessing. The K-NN and minimum distance classifier are used to identify and classify the different types of food grains using local and global features. Texture and color features are the ...