It is known that the human visual system, unsurpassed in its ability to reconstruct surfaces, employs different cues to solve this difficult task. The prevailing method in digital photogrammetry is stereopsis. However, texture may provide valuable information about the shape of surfaces. In this paper we employ Laws' method of texture energy transforms to extract texture information from digita...

Accurate medical diagnosis requires the segmentation of a large number of medical images. Although manual segmentation provides good results, it is a costly process in terms of both money and time. Automatic segmentation, on the other hand, remains a challenge due to low image contrast and ill-defined boundaries. In this report, we propose a fully automated medical image segmentation framework ...

This paper proposes a new object-based approach to similar image retrieval. First the salient regions of an image are detected by using a novel segmentation method based on a multi-scale inhomogeneous diffusion model applied to color and texture features. Each detected region is then represented by a feature vector composed from the characteristic color, texture and shape features of a region w...

Aging progress of a person is influenced by many factors such as genetics, health, lifestyle, and even weather conditions. Therefore human age estimation from a face image is a challenging problem. Aging causes significant variations in facial shape and texture across years. In order to construct a general age classifier, shape and texture information of human face should be used together. In t...

The growing prevalence of multimedia systems is bringing the need for efficient techniques for storing and retrieving images into and from a database. In order to satisfy the information need of the users, it is of vital importance to effectively and efficiently adapt the retrieval process to each user. Considering this fact, an application for querying the images via their color, shape, and te...

Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture important local characteristics of that image, they can form the basis of a good image representation for content-based image retrieval (CBIR). Salient features are generally determined from the local differential structure o...

Accurate medical diagnosis requires a segmentation of a large number of medical images. Although the manual segmentation produces good results, it is a costly process (in the terms of money and time). On the other hand, the automatic segmentation is still challenging because of low image contrast and ill-defined boundaries. In this work, we propose a fully automated medical image segmentation f...

Automatic digital plant classification and retrieval can be achieved by extracting features from its leaves. There are ample opportunities to improve plant species identification due to computerization through the designing of a convenient automatic plant recognition system. Many different approaches are used to classify the species of plants based on the plants features. In this research, the ...