OBJECTIVE This paper focuses on the use of image-based machine learning techniques in medical image analysis. In particular, we present some variants of local binary patterns (LBP), which are widely considered the state of the art among texture descriptors. After we provide a detailed review of the literature about existing LBP variants and discuss the most salient approaches, along with their ...

In previous ASCI papers ([1], [2]), a processor development framework for Transport Triggered Architectures (TTAs) was presented. This paper discusses the application of this framework to the design of a processor aimed at different image processing algorithms. In particular, gray-scale neighborhood operations are considered. The applicability and advantages of special function units are discus...

The aim of this paper is to introduce a new methodology for micro-pattern analysis in digital images. The gray-level pixels’ structure in an image neighborhood describes a spatial specific context. Edge, line, spot, blob, corner or texture can be described by this structure. The gray-level values of the image pixel are interpreted as a fuzzy set, and each pixel gray-level as a fuzzy number. A m...

Representations are formalized as encodings that map the search space to the vertex set of a graph. We define the notion of bit equivalent encodings and show that for such encodings the corresponding Walsh coefficients are also conserved. We focus on Gray codes as particular types of encoding and present a review of properties related to the use of Gray codes. Gray codes are widely used in conj...

Gray molasses is a powerful tool for sub-Doppler laser cooling of atoms to low temperatures. For alkaline atoms, this technique is commonly implemented with cooling lasers which are blue-detuned from either the D1 or D2 line. Here we show that efficient gray molasses can be implemented on the D2 line of K with red-detuned lasers. We obtained temperatures of m ( ) 48 2 K, which enables direct lo...

Palm veins have become a research hotspot of biometric recognition due to their own advantages universality, uniqueness, collectability and stability. This paper proposes palm vein algorithm based on Neighborhood Preserving Embedding (NPE) Kernel Extreme Learning Machine (KELM). The firstly performs gray-scale normalization processing images, then extracts neighborhood preserving embedding dime...

oceanographic images obtained from environmental satellites by a wide range of sensors allow characterizing natural phenomena through different physical measurements. for instance sea surface temperature (sst) images, altimetry data and ocean color data can be used for characterizing currents and vortex structures in the ocean. the purpose of this thesis is to derive a relatively complete frame...

Studies of the regulation of total spinal cord blood flow have been limited by methodology. Total flow has been difficult to measure and flow to the gray and white matter within the cord has not been previously assessed. We have used labeled microspheres to measure blood flow in the spinal cord. Our purpose was to examine the effects of several physiological stimuli on the regulation of blood f...