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Hair counting method based on image processing technology

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DOI: 10.23977/jaip.2020.040103 | Downloads: 43 | Views: 596

Author(s)

Gongtao Yue 1, Chengcheng Ji 1, Yongsheng Yang 1

Affiliation(s)

1 School of Information Engineering, Xijing University, XiAn710123

Corresponding Author

Gongtao Yue

ABSTRACT

The number of hair per unit area of scalp is an important indicator of hair growth. In order to realize the understanding of head fur growing condition, this paper designs a hair counting method based on image processing technology. The color characteristics of the high definition scalp hair images taken by light microscope were analyzed and the Wright test was used to eliminate the shadow and subtle hair interference. Then the original image was preprocessed and pieceby-linear transformation was enhanced, and then the threshold segmentation was performed to extract the hair root image, and a single scalp hair image was counted, and the scalp hair counting function model was constructed to realize the scalp hair counting in the whole region. Analysis shows that the experimental results accord with the physiological characteristics of hair growth, and the method can avoid most of the noise interference of hair image, and meet the actual requirements of scalp hair counting.

KEYWORDS

image processing, Hot transformation, Piecewise linear transformation, Wright test, Hair count

CITE THIS PAPER

Gongtao Yue, Chengcheng Ji, Yongsheng Yang. Hair counting method based on image processing technology. Journal of Artificial Intelligence Practice (2021) Vol. 4: 23-29. DOI: http://dx.doi.org/10.23977/jaip.2020.040103

REFERENCES

[1] Jiang Xiaojia, Gao Shuhui. Laser & optoelectronics progress, 2019, 56(23): 83-90. 
[2] Jiang Xiaojia, Yang Mengjing, Quan Yongzhi, He Xinlong, He Ya. Laser journal, 2019, 40(05): 66-72. 
[3] Bao Wenxia, Zhang Tingting, Hu Gensheng, Liang Dong. Journal of Anhui university (natural science edition), 2020, 44(06): 20-27.
[4] Xie Yuancheng, He Chao, Yu Zengyuan, Shen Yi, Jiang Haiyan, Liang Jingdong. [J]. Transactions of the Chinese society for agricultural machinery, 2020, 51(12): 212-219.
[5] Liu Zhe, Huang Wenjun, Wang Liping. Automatic counting of wheat ears in field based on improved k-means clustering algorithm [J]. Transactions of the csae, 2019, 35(03): 174-181. 
[6] Fan Mengyang, Ma Qin, Liu Junming, Wang Qing, Wang Yue, Duan Xiongchun. Wheat ear counting method in field environment based on machine vision [J]. Transactions of the Chinese society for agricultural machinery, 2015, 46(S1): 234-239. 
[7] Zhang Liancheng, Chen Yunqiang, Li Yunxia, Ma Juncheng, Du Keming. Transactions of the Chinese society for agricultural machinery, 2019, 50(03): 144-150.
[8] Bao Wenxia, Zhang Xin, Hu Gensheng, Huang Linsheng, Liang Dong, Lin Ze. Estimation and counting of wheat ear density based on deep convolutional neural network [J]. Transactions of the Chinese society of agricultural engineering, 2020, 36(21): 186-193+323. 
[9] Liu Tao, Sun Chengming, Wang Lijian, Zhong Xiaochun, Zhu Xinkai, Guo Wenshan. Field wheat ear counting based on image processing technology! Transactions of the Chinese society for agricultural machinery, 2014, 45(02): 282-290. 
[10] Li Zishan. Research on wheat ear image recognition algorithm based on color Feature [D]. Henan Agricultural University, 2016. 
[11] Urban Gregor,Feil Nate,Csuka Ella,Hashemi Kiana,Ekelem Chloe,Choi Franchesca, Mesinkovska Natasha A, Baldi Pierre. Combining Deep Learning with Optical Coherence Tomography Imaging to Determine Scalp Hair and Follicle Counts. [J]. Lasers in surgery and medicine, 2021, 53(1):
[12] N.A. Dorgham, D.A. Dorgham. Lasers for reduction of unwanted hair in skin of colour: a systematic review and meta-analysis [J]. Journal of the European Academy of Dermatology and Venereology, 2020, 34(5):
[13] Rushton D Hugh, Van Neste Dominique Jj. Lessons from the Past: Avoiding Placebo Generated Increased Hair Counts. [J]. International journal of trichology, 2019, 11 (4):
[14] Rachita Dhurat, Sandip Agrawal, Aseem Sharma, Richa Sharma. The innovative use of a click counter for counting the number of slits prepared during hair transplantation [J]. Journal of the American Academy of Dermatology, 2019:

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