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Hair today, gone tomorrow: tracking hair loss and growth

Hair today, gone tomorrow: tracking hair loss and growth
The software developed at CSIRO is able to objectively and rapidly count the number, length, and visibility of hair on a patch of skin. It uses advanced image analysis to distinguish between genuine hair, and wrinkles, wounds, or moles. Image: CSIRO

(麻豆淫院Org.com) -- CSIRO has developed maths-based imaging technology to measure hair on different parts of the human body.

CSIRO鈥檚 Biotech Imaging team, who specialise in developing software to analyse images automatically, worked with a UK personal care products company to find a way to objectively test how well their hair removal products work.

Hair counting is often done manually by human assessors.

鈥淚t鈥檚 a boring job and results are prone to errors and variations between different people,鈥 Dr Pascal Valloton, Leader of Biotech Imaging at CSIRO said.

鈥淥ur software uses images captured by a small flatbed scanner pressed onto the skin. The software crunches the numbers to analyse the image of skin and hairs.

鈥淭hen, almost instantly, it reports information about the length and number of hairs in the picture.

鈥淵ou can compare the results with earlier images to see if hair is growing quickly or slowly or has been properly removed by, say, a depilatory cream.鈥

鈥淭he software can even detect hairs that people find hard to see and it鈥檚 not confused by variations in background skin colour or texture,鈥 Dr Vallotton said.In the language of image analysis, a hair is called a 鈥榣inear feature鈥. There are many ways of detecting linear features but this software uses algorithms that exploit some special things about hairs, like their relative straightness.

鈥淭he software can even detect hairs that people find hard to see and it鈥檚 not confused by variations in background skin colour or texture,鈥 Dr Vallotton said.

The linear feature algorithms the software uses are similar to those developed by the team for medical research to measure the branching structure of nerve cells and to find the boundaries of fat cells.

The hair counting methods, the hardware and the algorithms are described in the November issue of Skin Research and Technology journal

Provided by CSIRO

Citation: Hair today, gone tomorrow: tracking hair loss and growth (2008, October 31) retrieved 24 June 2025 from /news/2008-10-hair-today-tomorrow-tracking-loss.html
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