Hair loss type
Various types of hair loss occur due to various reasons such as male hormone, scalp disease, stress and bad habit etc. It is necessary to check the type of hair loss first and to understand the status of hair by analyzing the thickness, density and others of the areas where hair loss is suspected and where is normal, and then to select a suitable treatment method.
The screen shot of hair loss type image:
Hair density analysis is used to check hair loss status. A new hair that rises by cell division has 3-6 years of life expectancy. The hair degenerates and goes into telogen period. Through 3-5 months, a new hair rises gradually again while pushing the dormant hair to fall out. This repeats throughout life. As degeneration is accelerated, the time for normal hair to be kept shortens and the number of normal hair decreases as a result. It is considered normal if a person has an average of 150-200 hair over 1 cm2 in Caucasian. Hair density analysis can measure the average hair over the defined size.
The screen shot of hair density image:
Once the number of hair per pore touched, the analysis program calculates the number of current hair from captured image based on hair detection method. Then, it automatically computes the number of hair/1cm2.
The outmost layer of the skin is keratin consisting of dead cells. This falls before long by living cells rising underneath. It is hard to be detected normally as the size is too small, but it can cause different kinds of scalp or hair trouble by creating layers once mixed with oil.
By blocking the scattered light of White LED, we can check the clearer and precise image on the status of dead skin.
The captured scalp keratin images and result of detected images:
A dead skin cell is detected as white color but it cannot be detected accurately by simple comparison in brightness. As the area around relatively dark hair is also bright, bright area against surroundings is first detected and then remove the value of hair. The index is computed by percentage ratio of detected area.
Sensitive scalp reacts very sensitively even to mild stimulus with irritation or fever as capillaries are expanded. The stress and overwork make the scalp tense and cause blood circulation disorder, which makes the tissue thinner. As a result, it is itchy, scarlet spots or capillary seen here and there at the surface.
By blocking only the light reflected by the surface of the scalp, we can check the sensitivity reaction of the skin layer under the scalp.
The captured scalp sensitivity images and result of detected images:
The dark color area is first detected by brightness value, the value of the color difference is used to remove melanin (brown) color, then only sensitive area with scarlet color remain. Hair is separately detected and removed beforehand. The numerical value is computed by brightness value. It gives its first weighted value based on the degree of darkness and second weighted value on the degree of darkness against surrounding. The index is calculated by combining the two and then dividing it by image size value.
Depending on the thickness of hair, it is divided as thin hair in 0.05~0.07mm, normal hair in 008~0.09mm, thick hair called terminal hair in 0.1~0.15mm. Hair becomes thinner due to various reasons such as accumulation of chemical materials from perm or dying, shrinking of the pore by waste on the scalp, bad eating habit, stress etc., which also result in hair loss.
The screen shot of hair thickness image:
Once hair selected from the captured image, the program automatically analyzes thickness of hair and shows the result value. If multiple hairs analyzed, an average value is also computed and shown.