Accurate edge localization is essential in bar code decoding. Since speckle noise is the most dominant form of noise in laser bar code scanners, it is important to fully understand its effects on edge detection. Starting with the basic statistical properties of speckle patterns, we present stochastic analysis of speckle noise. We derive the autocorrelation function and power spectral density PS...

other fractal-based features as descriptors of the texture of images [2–6]. Applications of the fractal theory in image Fractal dimension has been used for texture analysis as it is highly correlated with the human perception of surface analysis also include image segmentation [2, 6–8], shape roughness. Several methods have been proposed for the estimadescription [9], object characterization [1...

1 Neutral particle densities and energy losses have been measured in the Alcator C-Mod tokamak [Hutchinson et al. Their effect on the formation and evolution of the edge barrier which accompanies the enhanced confinement regime are discussed. The neutrals can enter the edge dynamics through the particle, momentum and energy balance. Neutral densities of up to 5x10 16 m −3 have been measured in ...

Gallai conjectured that every 4-critical graph on n vertices has at least 53n − 23 edges. We prove this conjecture for 4-critical graphs in which the subgraph induced by vertices of degree 3 is connected.

Visual saliency, which predicts regions in the field of view that draw the most visual attention, has attracted a lot of interest from researchers. It has already been used in several vision tasks, e.g., image classification, object detection, foreground segmentation. Recently, the spectrum analysis based visual saliency approach has attracted a lot of interest due to its simplicity and good pe...

Face detection is an important part of many image analysis processes like video surveillance, facial expression recognition etc. This paper presents a fast and easy to implement algorithm for face detection. It is based on the skin detection from Y, Cb and Cr components augmented by facial elements estimate from edge density on the candidate area. Our method is invariant to the position of the ...

The characteristic sequence of hypergraphs 〈Pn : n < ω〉 associated to a formula φ(x; y), introduced in [5], is defined by Pn(y1, . . . yn) = (∃x) ∧ i≤n φ(x; yi). We continue the study of characteristic sequences, showing that graph-theoretic techniques, notably Szemerédi’s celebrated regularity lemma, can be naturally applied to the study of model-theoretic complexity via the characteristic seq...

This paper presents a graph bundling algorithm that agglomerates edges taking into account both spatial proximity as well as user-defined criteria in order to reveal patterns that were not perceivable with previous bundling techniques. Each edge belongs to a group that may either be an input of the problem or found by clustering one or more edge properties such as origin, destination, orientati...

Detection of edges in multispectral images has been a challenging task in the research community over the past few years. In this work, a novel vector-based approach is adopted for edge detection in multichannel remotely sensed images. The discontinuity between homogeneous regions in the image is detected using the image density value estimated at the mean vector of the sliding window. The prop...