A new family of symbolic compression algorithms has recently been developed that includes the ongoing JBIG2 standardization effort as well as related commercial products. These techniques are specifically designed for binary document images. They cluster individual blobs in a document and store the sequence of occurrence of blobs and representative blob templates, hence the name symbolic compre...

This paper describes a simple model-based approach to boundary detection for blob shaped objects. A geometric model is used to focus attention on relevant portions of the image during boundary generation. The boundary generated is that which is a globally optimal match to the shape and edge description parameters of the model. The method is illustrated using images of stained transverse section...

Our main aim is to detect an obstacle from any image, and from the methodology used in this we can easily and quickly detect the obstacle. This article is primarily focused on detection of moving objects from aerial vehicles for surveillance. The blob analysis back subtraction method is used for detecting the obstacle in an outdoor environment. Small UAVs are used for low altitude surveillance ...

Abstract Short-period comet 108P/Ciffreo is known for its peculiar double morphology, in which the nucleus accompanied by a comoving, detached, diffuse “blob.” We report new observations of taken with Hubble Space Telescope and Nordic Optical use them to determine cause this unusual morphology. The separation longevity blob across several orbits together rule out possibility single, slow-moving...

The flash-lag effect -- a misperception that a flashed object appears to lag behind a moving object despite their physical alignment -- has mainly been investigated as a spatiotemporal offset. Here, we report that the flash-lag-in-depth effect is accompanied by an illusory change in the apparent size of the flashed object. We found a strong flash-lag-in-depth effect with a dot-defined square, w...

Life scientists often must count cells in microscopy images, which is a tedious and time-consuming task. Automatic approaches present a solution to this problem. Several procedures have been devised for this task, but the majority suffer from performance degradation in the case of cell overlap. In this article, we propose a method to determine the positions of macrophages and parasites in fluor...

Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) according to a distinct hyperechogenic pattern in the substantia nigra (SN) region. However a procedure including rating scale of SN hyperechogenicity was required for a standard clinical setting with increased use. We applied the feature analysis method to a large TCS dataset that is relevant for clinical...

To help understand the role of long-range, clustered lateral connections in the superficial layers of macaque striate cortex (area V1), we have examined the relationship of the patterns of intrinsic connections to cytochrome oxidase (CO) blobs, interblobs, and ocular dominance (OD) bands, using biocytin based neuroanatomical tracing, CO histochemistry, and optical imaging. Microinjections of bi...

In this paper, a novel reconfigurable architecture is proposed for multifunctional image signal processing systems. A circuit-switched NoC is used to provide interconnection because the non-TMD links ensure fixed throughput, which is a desirable behavior for computational intensive image processing algorithms compared with packet-switched NoC. Image processing algorithms are modeled as synchron...