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The implemented system automatically capable of annotating images of a database based on samples. The system creates annotations to images with detection of the object belonging to the keyword. The set of keywords is predefined. After the user searching the first twelve relevant results will be showed. Due to the higher accuracy of the system, the user has to comment results then the system has to...
The application of lossless data compression methods may significantly decrease the required storage space or throughput. The quality of the compression ratio is influenced by several factors, like the available space and processing resources and the statistical characteristic of the data to be compressed. In this contribution we will perform the boundary analysis of Virtual Dictionary Extension(-VDE),...
Several methods are available in computer vision to recognize objects. Mostly, these methods consist of two well-separated parts: first the region of interest has to be recognized on the input image. After this, the visual representation of the object has to be compared with already-known samples: there are several ways, mostly based on the shape, color and pattern, or corner- or keypoints of the...
Hadoop Distributed File System (HDFS) is the de facto file system in vanilla Hadoop and most of open source Hadoop distributions. However HDFS suffers from the so called Small File Problem. Storm is a parallelized stream processing framework. In this paper we evaluate buffering strategies to mitigate the small file problem. In our evaluations Storm will be the small file source.
The purpose of this project is to develop a software which can be an aid for difficult colon cancer diagnosis and using this system the patients can be helped with an early diagnosis. The aim can be achieved with processing and analysing microscopic tissue images. This paper contains the basic knowledges related to the project and the description of the developed system. The implemented algorithms...
The representation of data plays significant role in many applications, as for instance when performing data compression, feature extraction or enhancement, etc. In this paper we briefly mention some well known data representation forms and propose a new domain based on the so called higher order singular value decomposition (HOSVD) and wavelet transformation. It will be shown how the data can be...
Using content based image retrieval systems the images are compared on the grounds of the stored information of images. As simple descriptors the intensity (or color), the texture and the shape is widely used. Special property of thermal images - similarly to gray-scale images - the have only one intensity channel. But then these intensities change on an other way than in gray-scale images. In this...
Selecting the right parameter is a vital issue in many image processing algorithms. Normally this is done after experimenting with a limited number of pictures, and then one just hopes that the parameters will work adequately with all the other images. Experimenting with the parameters, however, consumes precious human time.
The main aim of this work is to show, how GPGPUs can facilitate certain type of image processing methods. The software used in this paper is used to detect special tissue part, the nuclei on (HE - hematoxilin eosin) stained colon tissue sample images. Since pathologists are working with large number of high resolution images - thus require significant storage space -, one feasible way to achieve reasonable...
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