Texture segmentation and classification form very important topics of the interdisciplinary area of digital signal processing with many applications in different areas including analysis of microscopic images, biomedical image processing or detection of satellite image components. The paper presents selected mathematical tools for pattern recognition applied in crystalography to detect individu...

purpose: to present a new reliable and accurate iris recognition method applicable in identification systems. methods: the system was implemented and tested on 876 standard iris images (daugman iris images database) from 876 persons of different nationalities via image processing techniques. results: false accept reject (far) and false reject reject (frr) were smaller in our suggested method as...

The appearance of miniaturized single-photon detectors has enabled massively parallel conversion of photons to digital signals that can be readily processed and/or transported with negligible losses. As a consequence, a new class of imaging sensors is emerging, known collectively as all-digital image sensors, for detection and processing of ultra-fast and complex photonic events, often present ...

Alexis Roche, Daniel Schmitter, Bénédicte Maréchal, Delphine Ribes, Ahmed Abdulkadir, Meritxell Bach-Cuadra, Alessandro Daducci, Cristina Granziera, Stefan Klöppel, Philippe Maeder, Reto Meuli, and Gunnar Krueger Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, Biomedical Imaging...

In this chapter, we give a survey of applications of the kernel methods introduced in the previous chapter. We focus on different application domains that are particularly active in both direct application of well-known kernel methods, and in new algorithmic developments suited to a particular problem. In particular, we consider the following application fields: biomedical engineering (comprisi...

The aim of this paper is to present of standard median and recursive median one-dimensional nonlinear filters. Median filtering is a popular method of noise removal, employed extensively in applications involving speech, signal and image processing. This non-linear technique has proven to be a good alternative to linear filtering as it can effectively suppress impulse noise while preserving edg...

Image systems simulation plays an important role in the design and evaluation of a range ofdevices, from large-scale remote sensing to the smallest biomedical imaging instruments. Wereview principles of image systems simulation that are applicable to the design and evaluationof consumer imaging devices. In this application the main goal is to help engineering teammembers measure...

gait contains important information about the status of the human body and physiological signs. in many medical applications, it isimportant to monitor and accurately analyze the gait of the patient. since walking shows the reproducibility signs in several phases,separating these phases can be used for the gait analysis. in this study, a method based on image processing for extracting phases of...

this paper presents a simple yet powerful original approach for approximating dispersivity in porous media. the key to this approach is both use of least-squares criterion and image processing technique. two dimensional transparent models, including horizontal and vertical configurations, under different combinations of grain sizes and pore velocities, experimented. concentration data were obta...