With the advent of novel biomedical 3D image acquisition techniques, the efficient and reliable analysis of volumetric images has become more and more important. The amount of data is enormous and demands an automated processing. The applications are manifold, ranging from image enhancement, image reconstruction, and image description to object/feature detection and high-level contextual featur...

This article is a review of the book “Biomedical Signal and Image Processing” by Kayvan Najarian and Robert Splinter, which is published by CRC Press, Taylor & Francis Group. It will evaluate the contents of the book and discuss its suitability as a textbook, while mentioning highlights of the book, and providing comparison with other textbooks.

OBJECTIVES The number of articles published annually in the fields of biomedical signal and image acquisition and processing is increasing. Based on selected examples, this survey aims at comprehensively demonstrating the recent trends and developments. METHODS Four articles are selected for biomedical data acquisition covering topics such as dose saving in CT, C-arm X-ray imaging systems for...

Mathematical methods used for analysis of biomedical data include many topics of interdisciplinary general area of digital signal and image processing and they cover algorithmic tools for image enhancement, image components detection and their segmentation using feature vectors estimated either in the space and frequency domains by selected statistical methods and functional transforms. The pap...

Digital dermatoscopy techniques for diagnosing malignant melanoma are adapted to consumer-grade mobile devices with macro photography lenses and a prototype application for Android devices is presented. Keywordsdermatoscopy; mobile image processing; segmentation; biomedical image processing

s: Methods of image analysis belong to a general interdisciplinary area of multidimensional signal processing. The paper is devoted to selected intelligent techniques of biomedical image processing and namely to mathematical methods of image features extraction and image components classification invariant to their rotation. The first method under study presents an algorithm for the given image...

Agricultural Image Processing is one of the core application of Image processing is one of the most growing research area that is having its participation in different application areas including the biometric system, biomedical system, etc. One of such application area is the agricultural industry. In this application area, image processing is been utilizing in different ways to identify the c...

Vector directional filters (VDF) for multichannel image processing are introduced and studied. These filters separate the processing of vector-valued signals into directional processing and magnitude processing. This provides a link between single-channel image processing where only magnitude processing is essentially performed, and multichannel image processing where both the direction and the...

This special issue of the journal includes 11 articles related with biomedical image processing: two concern brain segmentation from MRI images; two of them use medical imaging to build patient customized 3D finite element models; one applies segmentation algorithms on CT images of the spine; one addresses the simulation of middle cerebral artery Doppler signals; two are related with the study ...