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...

In this research, three methods for the detection of crack defects on integrated circuit (IC) packages are proposed. These methods use blob analysis technique in image processing stage, and use multi-layered perceptron (MLP) neural network to classify the IC package. This paper presents the various filters and operations employed in blob analysis. The simulation results have shown, that a two-l...

To investigate blob properties in the tokamak scrape-off layer (SOL), we perform dedicated numerical nonlinear simulations of plasma turbulence in the SOL of a TCV discharge using the Global Braginskii Solver code. A blob detection technique is used for the first time in a threedimensional (3D) full-turbulence simulation to track the motion of the filaments in the SOL. The specific size, densit...

MOTIVATION New generation Affymetrix oligonucleotide microarrays often have blob-like image defects that will require investigators to either repeat their hybridization assays or analyze their data with the defects left in place. We investigated the effect of analyzing a spike-in experiment on Affymetrix ENCODE tiling arrays in the presence of simulated blobs covering between 1 and 9% of the ar...

Measuring biomass content is an important stage in harvesting shrimp as it will determine the harvest time. Manual detection has caused stress and eventually death; therefore, a new determination required. This research aims to design IoT technique-based measurement, using underwater video with fog cloud computing processes easily detect underwater, irrespective of complex noise. The method con...

In a recent paper by Chen et al., the authors present a clever means of decomposing the Laplacian-of-Gaussian (LOG) kernel into the product of a Gaussian and a (smaller) LOG mask. They then proceed to develop a fast algorithm for convolution which exploits thespatial frequency properties of these operators to allow the image tobe decimated (subsampled). Although this approach is both no...