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Most of the current image object detection algorithms use very large data sets for their training and these methods are also optimized for those big data sets. Unfortunately, in many cases it is very costly or even impossible to collect large data sets for training (e.g. in medicine, astronomy, and other fields). In this paper a new approach based on Dalal's Histogram of Oriented Gradients (HOG) [3]...
Using modern Graphic Processing Units (GPUs) becomes very useful for computing complex and time consuming processes. GPUs provide high-performance computation capabilities with a good price. This paper deals with a multi-GPU OpenCL implementation of k-Nearest Neighbor (k-NN) algorithm. The proposed OpenCL algorithm achieves acceleration up to 750x in comparison with a single thread CPU version. The...
The computer vision connected to image understanding becomes more and more important in everyday life. This paper concerns the image (dis)similarity assessment and grouping. The main contribution of this paper is the method for image (dis)similarity assessment based on dominant colors. The experimental results showed better results than the Direct Pixel Similarity and Color Histograms and method proved...
The aim of this study is to help improve the diagnostic and performance capabilities of Rapid Access Chest Pain Clinics (RACPC), by reducing delay and inaccuracies in the cardiovascular risk assessment of patients with chest pain by helping clinicians effectively distinguish acute angina patients from those with other causes of chest pain. Key to our new approach is (1) an intelligent prospective...
This paper describes a set of new operators for grammar guided genetic programming algorithm used for workflow optimization in logistic distribution centers. The paper is focused on the description of design of five genetic operators, results of particular operators in logistic work-flow optimization process and comparison of performance of particular operators. The main contribution of this paper...
Scene classification based on global features. It can be used, for example, for annotating large databases of photos. The whole process has several steps. The first step is features extraction, and then the distance between a new image and reference images is calculated. A model is trained to classify new images based on this distance. The model was created using the Naïve Bayes classifier. To improve...
Automatic optimization techniques, such as evolutionary algorithms, have become popular in the recent years as a general, simple, robust, and scalable solution which can be applied when other optimization method fails. Recently, many evolutionary and/or genetic based optimization frameworks and libraries have been developed and lot of them is freely available. On the other hand, there are not many...
In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which is lossless in nature. Arnold transformation and Henon map is used to design an efficient encryption system. The encryption method is aimed at generating an encrypted image that will have statistical properties completely dissimilar from the original image...
This paper describes a novel method for solving the problem of automatic planning and scheduling of work-plans in logistic distribution centers. The solution of the problem is based on well-known scheduling problems such as Job-Shop Scheduling Problems or Vehicle Routing Problems. By the time of writing this article, the key representatives of the logistics and warehousing industry do not use fully...
Object detection in ultrasound images is difficult problem mainly because of relatively low signal-to-noise ratio. This paper deals with object detection in the noisy ultrasound images using modified version of Viola-Jones object detector. The method describes detection of carotid artery longitudinal section in ultrasound B-mode images. The detector is primarily trained by AdaBoost algorithm and uses...
This paper presents a new approach to the classifier design used in the Viola-Jones object detector implemented in RadpidMiner Image Mining Extension. The new approach to the classifier design proposed in this paper is in fact creation of a classification tree designed by a genetic programming algorithm. The resulting classifier is used as an alternative approach to the standard cascade classifier...
The common carotid artery (CCA) is a source of important information that doctors can use to evaluate the patients’ health. The most often measured parameters are arterial stiffness, lumen diameter, wall thickness, and other parameters where variation with time is usually measured. Unfortunately, the manual measurement of dynamic parameters of the CCA is time consuming, and therefore, for practical...
This paper presents an automatic approach to a non-cryptographic hash function design based on grammar guided genetic programming. The paper describes how it is possible to design a non-cryptographic hash function, implementation issues such as terminal and nonterminal symbols, fitness measure, and used context-free grammar. The main aim of this paper is to link the expert knowledge in the design...
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