Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook generation and feature quantization procedures using SIFT feature have the high complexity both in time and space. To address this problem, in this paper, we propose an approach which combines local binary patterns (LBP)...

Background Randomised control clinical trials of acupuncture have been hampered by the challenges of assessing it as a complex intervention. Controlling for and separating placebo effects whilst identifying its efficacy as a treatment can be difficult [1]. The comparison of acupuncture to other complex interventions has been recommended to assess the effectiveness of acupuncture against other i...

Feature representations, both hand-designed and learned ones, are often hard to analyze and interpret, even when they are extracted from visual data. We propose a new approach to study image representations by inverting them with an up-convolutional neural network. We apply the method to shallow representations (HOG, SIFT, LBP), as well as to deep networks. For shallow representations our appro...

To accomplish face recognition more efficiently, a distributed face recognition framework based on MB-LBP features and data fusion is presented in this paper. Firstly, four face regions are interactively marked and the Multi-scale Block Local Binary Patterns are extracted from these regions to achieve both locally and globally informative features. Secondly, a distributed framework is introduce...

In this paper we propose a novel texture recognition feature called Fractal Weighted Local Binary Pattern (FWLBP). It has been observed that fractal dimension (FD) measure is relatively invariant to scale-changes, and presents a good correlation with human perception of surface roughness. We have utilized this property to construct a scale-invariant descriptor. We have sampled the input image u...

The operating characteristics of six full-scale wastewater treatment plants using the staged, closed loop bioreactor process known as orbal were evaluated to determine the degree of simultaneous biological nutrient removal (SBNR) occurring. Low effluent total nitrogen concentrations indicate that simultaneous nitrification and denitrification occurs reliably in these facilities. The use of SRT ...

Image-level classification from hyperspectral images (HSI) has seldom been addressed in the literature. Instead, traditional classification methods have focused on individual pixels. Pixel-level HSI classification comes at a high computational burden though. In this paper, we present a novel pipeline for classification at image-level, where each band in the HSI is considered as a separate image...

The LBP scale space serves as a shape representation, which thus allows not only for shape classification but also for an (approximate) reconstruction of the original shape. In this paper possible LBP scale space origins within a shape are evaluated. The influence of the LBP scale space center on the reconstruction quality is studied by computing the LBP scale space for every position inside a ...