Wyniki wyszukiwania - BazTech

1

Center of mass of human's body segments

Adolphe M., Clerval J., Kirchof Z., Lacombe-Delpech R., Zagrodny B.

Mechanics and Mechanical Engineering

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2017

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Vol. 21, nr 3

485--497

EN

In biomechanics, determination of the body’s center of mass has always been an important part of many biomechanical studies. However, it is always a challenge to find it and often obtained results are only estimations, guesses. Indeed, to find someone’s body center of mass isn’t as easy as finding center of mass of simple rigid objects with uniform density, where it usually could be found at the centroid. The human body is different according to the gender, the age, the ethnicity, the physical shape, body fat distribution, etc. As it is composed of bones and muscles, results may differ drastically depending on which muscles are tense or on the body positioning. Nowadays, as a new era of biomechanics is approaching with a superior kind of prosthesis or exoskeletons that calls upon an “augmented humanity”, or even with gait modelling. It is important to find an experimental method that gives precise positioning of such an important data as the center of gravity of body segments, widely available to scientists that would need to go further in their researches, without having to use sophisticated equipment or time-consuming methods.

2

Knee bone segmentation from MRI: A classification and literature review

Aprovitola A., Gallo L.

Biocybernetics and Biomedical Engineering

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2016

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Vol. 36, no. 2

437--449

EN

Segmentation of cartilage from Magnetic Resonance (MR) images has evolved as a tool for the diagnosis of knee joint pathologies. However, accuracy and reproducibility of automated methods of cartilage segmentation may require the prior extraction of bone surfaces from MR imaging sequences specifically designed to evidence the cartilage and not the bone. Thus a priori knowledge of knee joint structures and fully automated segmentation methods are adopted to provide reliable detection of bone surfaces. In this paper, we review knee bone segmentation methods from MR images. We classified the methods proposed in literature according to the level of a priori knowledge, the level of automation and the level of manual user interaction. Furthermore we discuss the segmentation results in literature in relation to the MR sequences used to image the bone.

3

Study on Adaptive Threshold Segmentation Method Based on Brightness

Zhao D., Dai X., Sun G., Lu T.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 9b

150-152

EN

Image segmentation is one of the most important steps before the image data analysis, which divided the image into several areas that have strong similarity. With the more and more widely application of the mesh fabric, the quality requirements are more stringent. As the impact of uneven illumination, the image brightness is inconsistent, which bring a great difficulty to the image segmentation of the mesh fabric. In order to eliminate the effect of uneven illumination in the image acquisition of linear CCD camera, the adaptive threshold segmentation method based on brightness is proposed. Compared with the Otsu method, it is better to eliminate the influence of the uneven illumination and provide a good foundation for subsequent data analysis.

PL

Analizowano system segmentacji obrazu polegający na podziale obrazu na obszary o dużym podobieństwie. Przy nierównym naświetleniu powstaje problem segmentacji. Zaproponowano adaptacyjny system progowej segmentacji bazujący na analizie jasności.

4

The segmentation method usage in an assessment sheet analysis

Urbański K., Wrzosek A.

Poznan University of Technology Academic Journals. Electrical Engineering

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2011

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No. 66

169--176

EN

The paper presents a prototype system for automatic data acquisition and analysis of student's progress based on assessment of the work papers. The instructor saves the points aquired by the students at the classes. Then software makes an analyze of collected data. Presented prototype package provides both an analysis of assessment cards as well as their generation. The package uses an implementation of the OMR (Optical Mark Recognition) algorithm. The software was developed in MATLAB.

5

Knowledge driven segmentation of specific objects : a composed method

Flores-Parra I., Bienvenido J.

Image Processing & Communications

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2002

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Vol. 8, no 2

57-70

EN

Segmentation methods have been used extensively in image analysis, automatic industrial classification and defective pieces searching. Starting with the analysis of satellite images, we found that using some windows driven segmentation algorithms with an adequate set of parameters, it was possible to segmentate only specific parts of the images. Taking advantage of this behavior, we developed a wide set of alternative segmentation algorithms. Combining, later, these previous techniques into a composed system that worked with mobile windows. Different alternatives (method, parameters) generate different segmentated images, which reveal different set of objects, requiring different resources. The composition of the different segmentation mechanisms and its later application is done using a knowledge model that integrates previous partial work models. In this paper, it is showed this knowledge model of the segmentation process that integrates a wide set of techniques.