This creates a hard to overcome hurdle for novices interested in acquiring species knowledge.
This creates a hard to overcome hurdle for novices interested in acquiring species knowledge.Today, there is an increasing interest in automating the process of species identification.Digital image processing refers to the use of algorithms and procedures for operations such as image enhancement, image compression, image analysis, mapping, and geo-referencing.Tags: Essay About African PovertyA Beautiful Mind EssaysSusan Sontag 1966 Essay NoWrite An Essay About YourselfBusiness Plan ContentsEnglish Term Paper TopicsExample Of Term Paper OutlineEssay For College StudentHealth Essay WritingDisadvantages Of Tv Essay
The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes.
The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging.
While not limited to these alone, the typical biomedical image datasets of interest include those acquired from: The types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of various models (geometrical, statistical, physical, functional, etc.) to solve the following types of problems, using biomedical image datasets: representation of pictorial data, visualization, feature extraction, segmentation, inter-study and inter-subject registration, longitudinal / temporal studies, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy (modelling normal anatomy and its variations), computational physiology (modelling organs and living systems for image analysis, simulation and training), virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, telesurgery and image-guided medical robots, etc.
Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more.
Recently, taxonomists started searching for more efficient methods to meet species identification requirements, such as developing digital image processing and pattern recognition techniques .
The rich development and ubiquity of relevant information technologies, such as digital cameras and portable devices, has brought these ideas closer to reality.Extraction of blood vessel boundaries from intravascular ultrasound images is essential in the quantitative analysis of cardiovascular functions.In this study, we are presenting a completely automated procedure for determining blood vessel borders.To assess the performance of the method, we have compared the automatically processed images with the manual tracings, using three different criteria: correlation coefficient, match ratio, and relative error of computed shape parameters.In both contour detection and shape parameters estimation, the proposed method yielded consistently good results.This series of answered questions leads eventually to the desired species.However, the determination of plant species from field observation requires a substantial botanical expertise, which puts it beyond the reach of most nature enthusiasts.Species knowledge is essential for protecting biodiversity.The identification of plants by conventional keys is complex, time consuming, and due to the use of specific botanical terms frustrating for non-experts.Furthermore, we compare methods based on classification accuracy achieved on publicly available datasets.Our results are relevant to researches in ecology as well as computer vision for their ongoing research.