This paper introduces a tool to semi-automatically generate meta-data from game sprite sheets. MuSSE is a tool developed to extract XML data from sprite sheet images with non-uniform – multi-sized – sprites. MuSSE (Multi-sized Sprite Sheet meta-data Exporter) is based on a Blob detection algorithm that incorporates a connected-component labeling system. Hence, blobs of arbitrary size can be ext...

This paper proposes an object detection method using the methods of variable size blob detection along with feature stability. The objective of this algorithm is for detecting variable size and variable shape objects without the use in preceding information of the object of interest. Process of the algorithm constructs a scalespace tree from blobs detected from a series of images after blurring...

Dental Caries are one of the most prevalent chronic diseases around globe. Detecting carious lesions is a challenging task. Conventional computer aided diagnosis and detection methods in past have heavily relied on visual inspection teeth. These only effective large clearly visible caries affected been limited performance due to complex characteristics dental images, which consist hidden or ina...

Blobs are a modular component of the primary visual cortex (area 17) of all primates, but not of other mammals closely related to primates. They are characterized as an even distribution of patches, puffs, or blobs of dense cytochrome oxidase (CO) expression in layer III of area 17, and are now known to differ from surrounding, nonblob cortex in thalamic, intrinsic, and extrastriate connections...

There is increasing evidence for the presence of an optically thin advection-dominated accretion flow (ADAF) in low luminosity active galactic nuclei and radio-loud quasars. The present paper is devoted to explore the fate of a blob ejected from an ADAF, and to discuss its observational consequences. It is inevitable for the ejected blob to drastically expand into its surroundings. Consequently...

Foreground blobs in a mixed stereo pair of videos (visible and infrared sensors) allow a coarse evaluation of the distances between each blob and the uncalibrated cameras. The main goals of this work are to find common feature points in each type of image and to create pairs of corresponding points in order to obtain coarse positionning of blobs in space. Feature points are found by two methods...

Conventional video surveillance systems often have several shortcomings. First, target detection can’t be accurate under the light variation environment or clustering backgrounds. Second, multiple targets tracking become difficult on a crowd scene because the split/merge and occlusions among the tracked targets occur frequently and irregularly. Third, it is difficult to the partition the tracke...