We present a method to classify atomic density distributions using CCD images obtained in a quantum optics experiment. The classification is based on the scale invariant detection and precise localization of the central blob in the input image structure. The key idea is the usage of an a priori known shape of the feature in the image scale space. This approach results in higher localization acc...

Introduction: While the necessity of replacing voxels with blobs in conventional tomographic reconstruction based upon line-integrals is clear, it is not however well-investigated in plane- integral-based reconstruction. The problem is more challenging in convergent-plane projection reconstruction. In this work, we are aiming at utilizing blobs as alternative to voxels. <stron...

A new salient semantics-less blob detector named the Stable Wave Detector (SWD) is suggested. The detector proved to be particularly very useful in tracking a target in a videosequence. SWD is a multiscale blob detector in the intensity image. The targets are blobs in 2D which correspond to local maxima/minima of the image intensities or positive and negative peaks in 1D. SWD belongs to a group...

Faces convey primal information for our social life. This information is so primal that we sometimes find faces in non-face objects. Such illusory perception is called pareidolia. In this study, using infants' orientation behavior toward a sound source, we demonstrated that infants also perceive pareidolic faces. An image formed by four blobs and an outline was shown to infants with or without ...

Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling the image contents with a pre-defined set of keywords which are exploited to represent the image semantics. A Maximum Entropy Model-based approach to the task of automatic image annotation is proposed in this paper. In...

An oblivious and robust digital watermarking scheme with a blob-oriented and modular-arithmetic-based spatial-domain mechanism is presented. It is oblivious in the sense that no original image is required for watermark extraction. By a bloboriented and modular-arithmetic-based embedding–extracting mechanism, which slightly and unevenly perturbs the intensities of the pixels within a blob throug...

Text extraction from image is one of the complicated areas in digital image processing. Text characters entrenched in image represents a rich source of information for text retrieval application. It is a complex process to detect and recognize the text from comic image due to their various size, gray scale values, complex backgrounds and different styles of font. Text extraction process from co...

Structure in digitized images resides within two scales, the inner and outer scale. The inner scale is defined by the sampling resolution, and the outer scale is given by the image size. However, some images contain almost no fine scale structure, and these may be down-sampledwithout essential loss of image detail. Likewise some images may be reduced in size by removing borders with no structur...

In advanced security and automated surveillance systems, Object Recognition and Classification plays a vital role. Motion Based Recognition has been improved by using Recurrent Motion Image (RMI) classifier. For efficient Object Recognition the input video frames endures Preprocessing method such as (i) Background Subtraction using Linf distant image method, (ii) Shadow Points located by transf...

A multiscale region detector is derived from properties of a v ‘G (Laplacian-of-Gaussian) scalespace. The detector finds all image regions that have small gray-level variation relative to a neighborhood of their size. These regions may he nested. Since the region detector is designed as a coarse estimator of region size and shape, it is better suited for texture element extraction than for gene...