conclusion various filters are needed to improve the image quality. in this study, seven different filters were implemented and investigated on both noisy and noise-free images. background developmental dysplasia of the hip (ddh) can be detected with ultrasonography (usg) images. however, the accuracy of this method is dependent on the skill of the radiologist. radiologists measure the hip join...

The graphics processing unit (GPU) has emerged as a competitive platform for computing massively parallel problems. Many computing applications in medical physics can be formulated as data-parallel tasks that exploit the capabilities of the GPU for reducing processing times. The authors review the basic principles of GPU computing as well as the main performance optimization techniques, and sur...

MeVisLab is a research and rapid prototyping platform for medical image processing developed by MeVis Medical Solutions AG and Fraunhofer MEVIS. We present an object-oriented approach for developing applications using MeVisLab and Python. Our approach simplifies the development of scripting intensive and complex applications for medical image processing. The program flow becomes clearer and the...

This paper reviews the application of artificial neural networks in medical image preprocessing, in medical image object detection and recognition. Main advantages and drawbacks of artificial neural networks were discussed. By this survey, the paper try to answer what the major strengths and weakness of applying neural networks for medical image processing would be.

objectives: the purpose of this study was to develop and test a new tool for radiographic densitometry by combining periapical films and aluminum step wedge. materials and methods: we reviewed 50 kodak e-speed intraoral films. an aluminum step wedge consisting of 16 steps was constructed. each step was 1mmx3mx10mm. the step wedge was exposed to varying exposure times, ranging from 0.05 second t...

counting the population of insect pests is a key task for planning a successful integrated pest management program. most image processing and machine vision techniques in the literature are very site-specific and cannot be easily re-usable because their performances are highly related to their ground truth data. in this article a new unsupervised image processing method is proposed which is gen...

abstract- the evaluation of leaf area and leaf nutritional value is important for crop growth modeling and estimations of its performance. the purpose of this study was to use image processing techniques to develop an economical method to ease the assessment of nutrient status and leaf area (la) of plants and to compare the outcomes of this method with linear models. leaf area and leaf chloroph...

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...