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Tags shape detection shape distance measure shape matching image segmentation. Products Image Processing Toolbox. See Also.

Image Analyst view profile. Vote 1. Answer by Image Analyst Image Analyst view profile.

Step 2: Triangulating a Complex Shape

Edited by Image Analyst Image Analyst view profile. Accepted Answer. Get the area with regionprops or bwarea. See my Image Segmentation Tutorial where I go over how to threshold an image and measure area and other features of blobs. See attached shape description demos.

Ramesh Warusavitharana Ramesh Warusavitharana view profile.

With A Camera Blog Series

Thank you for this information. In this method we are measuring the perimeter of the shape. Can I take five separate measurements of the five sides of the polygon? Image Analyst Image Analyst view profile.

Measuring shape fluctuations in biological membranes

Use my demo to find the vertices. Then use sqrt to find the distance between them. In the cellular context, their origin-thermal or active-and their physiological significance are open questions.

ASMR measuring shapes

These small incessant displacements, also called membrane undulations, have mostly been studied in model membranes and membranes of simple cells like erythrocytes. Thermal fluctuations of such membranes have been very well described both theoretically and experimentally; active fluctuations are a topic of current interest. Experimentally, membrane fluctuations are not easy to measure, the main challenge being to develop techniques which are capable of measuring very small displacements at very high speed, and preferably over a large area and long time.

Scattering techniques have given access to fluctuations in membrane stacks and a variety of optical microscopy based techniques have been devised to study membrane fluctuations of unilamellar vesicles, erythrocytes and other cells. Among them are flicker spectroscopy, dynamic light scattering, diffraction phase microscopy and reflection interference contrast microscopy. Each of these techniques has its advantages and limitations. Here we review the basic principles of the major experimental techniques used to measure bending or shape fluctuations of biomembranes.

The value is calculated by dividing waist measurement by hip measurement.

Measuring Shape - CRC Press Book

Waist-hip ratio is sometimes used as an indicator of certain health conditions. Research has shown that people with more weight around their waist, or who have "apple-shaped" bodies, are at higher risk than those with more weight around their hips, or who have "pear-shaped" bodies.


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WHR is also used as a measurement of obesity. This corresponds to a body mass index BMI above Obesity can be an indicator of a number of serious health conditions such as hypertension, coronary heart disease, diabetes, some cancers, and more. WHR has been found to be more effective than both waist circumference and BMI for predicting mortality in people above the age of 75; WHR has also been found to be a better predictor of cardiovascular disease than both these measures.


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According to a study by Yusuf S, et al. Abdominal fat which corresponds to people with "apple-shaped" bodies has been found to result in higher health risks than other peripheral fat. A higher WHR indicates more abdominal fat, and the higher the ratio, the higher the risk of potential health complications. Refer to the Body Fat Calculator for more information regarding different types of fat and the risks associated with being overweight or obese.