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MaZda, a software package for 2D and 3D image texture analysis is presented. It provides a complete path for quantitative analysis of image textures, including computation of texture features, procedures for feature selection and extraction, algorithms for data classification, various data visualization and image segmentation tools. Initially, MaZda was(More)
This paper presents a concept and initial VHDL simulations of digital circuit which implements a network of synchronised oscillators. This circuit will be able to perform several image processing operations, like image segmentation, edge detection, morphological filtering, noise removal. Properties of digital network will be compared and discussed with(More)
This paper describes an automatic method for classification and segmentation of different intracardiac masses in tumor echocardiograms. Identification of mass type is highly desirable, since to different treatment options for cardiac tumors (surgical resection) and thrombi (effective anticoagulant treatment) are possible. Correct diagnosis of the character(More)
Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT, MRI) or of its metabolism (PET). However, evaluation of acquired images made by human expert is usually subjective and qualitative only. Quantitative analysis of MR data, including tissue classification and segmentation, is necessary to perform e.g. attenuation(More)
Recent development of three-dimensional imaging techniques with application in medical science demands a development of appropriate 3D image analysis techniques. This paper presents a segmentation method based on three-dimensional network of synchronized oscillators applied for 3D MR liver images. Principles of oscillator network operation were described.(More)
We present an application-specific integrated circuit (ASIC) CMOS chip that implements a synchronized oscillator cellular neural network with a matrix size of 32 × 32 for object sensing and labeling in binary images. Networks of synchronized oscillators are a recently developed tool for image segmentation and analysis. Its parallel network operation is(More)
This paper presents MaZda software for quantitative image texture analysis. This software, primarily developed for classification of magnetic resonance images, can be applied for wide class of textured images including color ones and 3D data. It enables estimation of almost 300 texture features; includes procedures for their reduction and classification.(More)
With the great progress in magnetic resonance imaging of the last decades, computerized image texture analysis has become an appealing approach to image quantification - for more objective medical diagnosis and therapy outcome evaluation. The number of research papers on TA applications to MRI of the bone, brain, breast, liver, myocardium and prostate(More)