Pattern Recognition and Image Analysis

With the development of information technology, there is a high demand for high-resolution images. Image super-resolution reconstruction technology is to estimate a high-resolution image with better quality from one or a sequence of low-resolution ...

In this present work, a new technique for content-based image retrieval is introduced using local tetra-directional pattern. In conventional local binary pattern (LBP), each pixel of an image is changed into a specific binary pattern in accordance ...

The term “Aesthetic” means the philosophy of beauty. In the field of art and photography, it relates to the artistic choice and appreciation of artistry. Computational assessment of aesthetic appeal of photographs is a highly idiosyncratic job. ...

Image captioning is a growing field of research that has taken hold of the research community. It is a challenging task owing to the complexity of natural language generation and the difficulty involved in feature extraction from a diverse ...

Nature-inspired optimization algorithms are simple and effective tools for solving highly non-linear and multi-modal real-world problems. Nowadays this kind of methods is very attractive for researchers in different fields of science and ...

The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization. A ...

This article is the fourth in a series of publications devoted to the state of the art and prospects for developing Descriptive Image Analysis, one of the leading and intensively developing fields of modern mathematical image analysis theory. The ...

In this paper, we propose a new classification system for image databases, particularly valid for noisy and geometrically distorted images. This system consists of three steps. In the first step, we apply a new image denoising technique based on ...

Images exhibit significant variabilities that make each image different from others, even if though they belong to the same class or categories. The lack of affiliation between the heterogeneous features and the structure of images makes it ...

Contrast enhancement is a primitive step in image processing application for enhancing the visual perceptibility which can be treated as the increase in gray level differences between background and foreground with suppression of noises. In ...

3D object recognition requires generating and verifying hypothesis, where a hypothesis means a hypothesized object together with a hypothesized pose of the object in the scene. Hypothesis verification is typically achieved by transforming the ...

Smart Electromechanical Systems (SEMS) are used in cyber-physical systems and, in particular, in intelligent robots. These systems have the ability to integrate the functions of computing, controlling, communicating, storing information, ...

Software for studying the spatial structure of various complex systems based on the data of multichannel measurements is developed. Experimental space-time functions without information loss are converted into a functional tomogram: the set of ...

In the past two decades, there has been an increasing research in recognition and analysis of human emotions in areas of neuroscience, psychology, cognitive science, and computer science. Facial expressions play an important role in assessment of ...

This article is devoted the foundations for designing a complex of applied intelligent systems for the diagnostics of the psychological safety and cognitive sphere of patients with a neurological pathology (IS DIPSYS-COS). Creation of a complex of ...

Ultrasonography images have a high impact in the medical field for faster and accurate diagnosis of the diseases. The analysis and processing of ultrasound images is a tedious task. The proposed work focuses on automatic segmentation and analysis ...

With the widespread use of mobile devices all over the world, a new interesting and challenging research area known as Activity Recognition (AR) with many application domains is evolved. Basically, activity recognition aims to identify certain ...

The performance of medical image segmentation is generally affected by the parameters of the adopted method and noise. To overcome these issues we introduce in this paper a novel segmentation approach of brain MRI using a region based-active ...

Microblog is different from traditional social networks and e-commerce website for its low user activity, data sparsity and dynamic of users’ preference. So traditional recommendation algorithms effect certainly is not very aridly ideal for ...

Iris biometric is a widely deployed tool for biometric based user authentication. Its success has paved path for several security related attacks on this biometric. In this paper, we propose a deep learning perspective to solve two of these ...

An efficient offline system for writer independent signature verification is proposed in this work which is quite a difficult task in computer vision. The proposed system employs a novel global representation of signatures followed by the ...

Facial expression recognition for frontal faces has become a well-established research area in the last two decades. However, non-frontal facial expression recognition hasn’t been paid much attention until recently. In this paper, we propose an ...

Lesion segmentation is a vital step in a melanoma recognition system. Many algorithms were developed for the efficient skin lesion segmentation. Most of them fails to realize a perfect segmentation. This paper proposes a novel, fully automatic ...

For practical use, the relevance of indoor surveillance from multiple cameras to track the movement of people and reidentify them in video sequences is constantly increasing. This is a complex task due to the effect of uneven illumination, ...