ÐThis paper presents a new compact shape representation for retrieving line-patterns from large databases. The basic idea is to exploit both geometric attributes and structural information to construct a shape histogram. We realize this goal by computing the N-nearest neighbor graph for the lines-segments for each pattern. The edges of the neighborhood graphs are used to gate contributions to a...

Observing the development of content based image retrieval systems hindered by the lack of eecient image representations, color histogram based indexing techniques have been used quite successfully. Though their performance strongly depends on illumination conditions being controlled, there has been only small eeort to make them invariant to illumination. By introducing color{orientation histog...

In this paper, a novel algorithm is proposed to detect abnormal events in video streams. The algorithm is based on the histogram of the optical flow orientation descriptor and the classification method. The details of the histogram of the optical flow orientation descriptor are illustrated for describing movement information of the global video frame or foreground frame. By combining one-class ...

Leukemia is a malignant disease and belongs in broader sense to Cancers. There are many types of leukemia, each which requires specific treatment. almost one-third all cancer deaths children young people. The most common type leukemia acute lymphoblastic (ALL). In this paper, new approach implanted on ALL database. For the method wavelet transform used for feature extraction, gray level co-occu...

Abstract Accurate and automated identification of the deceased victims with dental radiographs plays a significant role in forensic dentistry. The image processing techniques such as segmentation feature extraction play crucial retrieval accordance matching image. raw undergoes segmentation, distance-based retrieval. ultimate goal proposed work is quality enhancement by providing advanced techn...

To achieve high accuracy in classification the present paper proposes a new method on texton pattern detection based on wavelets. Each texture analysis method depends upon how the selected texture features characterizes image. Whenever a new texture feature is derived it is tested whether it precisely classifies the textures. Here not only the texture features are important but also the way in ...

The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice because of sampling artefacts, noise in the image data, and the fact that the computational effort limits the number of analyzed scale space images. In this paper we propose a modification of the descriptor’s regular grid ...