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This article deals with the application of neural networks on the issues of steganalysis. The aim is to improve the detection capability of conventional steganalytical tools with using of ANN. We analyze the ability of the tool, which utilizes calibration and blockiness to detect the presence of steganography message in suspected image. We verify if deployment of neural network improves this detection...
The contribution is dealing with the design and implementation of software modules that will assist the user to the advanced recognition of objects of interest, such as the profile of mining and other industrial objects. Modules allow initial adjustment with a broad range of different image filters, which will allow for more precise work of the second module for automatic segmentation, which ensures...
This paper describes the processing of photographs in the newly created module for 2D modeling, which will be integrated into the system FOTOMNG. This is a usable application in medicine to analyze images of probes and non-invasive examination developed at the department of computer science of the technical university of Ostrava. The module will be his purpose and functionality to build on a previous...
This paper describes development of the module, which analyzes medical images and its use is also possible in sectors other than medicine. A software module can base on events captured on the ECG graph store images, which the event concerned. Since the ECG chart is only available on video, you will need to analyze this video and chart to properly recognize it. This module plugged together with two...
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