Blob detection is a common task in vision-based applications. Most existing algorithms are aimed at execution on general purpose computers; while very few can be adapted to the computing restrictions present in embedded platforms. This paper focuses on the design of an algorithm capable of real-time blob detection that minimizes system memory consumption. The proposed algorithm detects objects ...

Multiwavelength observations of high energy flare in 1996 from 3C 279 seems to favour the so called mirror model between different inverse Compton scattering models proposed as a possible explanation of gamma-ray emission in blazars. We performed kinematic analysis of the relativistic blob mirror system and found that only part of the mirror located very close to the jet axis (very likely insid...

The recent trend of structure-guided feature detectors, as opposed to blob and corner detectors, has led to a family of methods that exploit image edges to accurately capture local shape. Among them, the WαSH detector combines binary edge sampling with gradient strength and computational geometry representations towards distinctive and repeatable local features. In this work, we provide alterna...

Recursive median filtering can be applied to images at a number of scales and orientations giving a scale space description at a pixel level. The resulting scale-orientation signatures can be used to discriminate between different structures, most easily between linear and blob-like structures, but also to describe any remaining texture in the image. As a specific example, the technique is appl...

In this paper we develop a density opening operator that is shown to satisfy the properties of an algebraic opening. This density opening enables the development of a number of variants of pattern spectra, which quantify the size or density information of a blob arrangement within the image. In contrast to regular morphological pattern-size spectra, the proposed pattern spectra are spatially se...

Biomedical data, such as MRI, MEG, EEG or optical imaging data, present a challenge to any data processing software. Feature point detection has many parameters such as edge detection, corner detection and blob detection (region of interest). Compression technique is used to reduce the size of image over selected region over medical image. So that it will helpful to transfer over WLAN. This pap...

When bilaterally symmetric images are spatially filtered and thresholded, a subset of the resultant 'blobs' cluster around the axis of symmetry. Consequently, a quantitative measure of blob alignment can be used to code the degree of symmetry and to locate the axis of symmetry. Four alternative models were tested to examine which components of this scheme might be involved in human detection of...

This paper presents an integrated approach for tracking hands, faces and specific facial features (eyes, nose, and mouth) of multiple persons in image sequences. For hand and face tracking, we employ a state-of-the-art blob tracker which is specifically trained to track skin-colored regions. The skin-color tracker is extended by incorporating an incremental probabilistic classifier used to main...

This paper introduces a new real-time blob tracking algorithm. Segmentation is the first step in many video analysis approaches. A number of successful segmentation techniques extract regions of interest, or blobs, in successive frames. The problem addressed here is that of establishing temporal relationships between blobs, without the use of domain-specific information. These relationships can...

We have developed an elegant and effective method for contentbased color image indexing and retrieval. A color image is first represented as a sequence of binary images each captures the presence or absence of a predefined visual feature, such as color. Binary vision algorithms are then used to analyze the geometric properties of the bit planes. The size, shape, or geometry moment of each conne...