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2018 | OriginalPaper | Chapter

Symmetry of Hue Distribution in the Images

Author : Piotr Milczarski

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

In the paper, a new symmetry measure is proposed to evaluate the symmetry/asymmetry of the hue distribution within the segmented part of the image. A new symmetry/asymmetry area measure (ASM) as well as their parts: the asymmetry measures of: the shape distribution (ASMShape), hue distribution (ASMHue) and structures distribution (ASMStuct) are proposed and discussed. In the paper, a dermatological asymmetry measure in shape (DASMShape) and hue (DASMHue) are presented and discussed thoroughly as well as their ASMShape and ASMHue applications. The hue distribution of the symmetry/asymmetry of the segmented skin lesion is discussed. One of the DASMHue measures is thoroughly presented. The results of the DASMHue algorithm based on the threshold binary masks using PH2 dataset shows stronger overestimating results but the total ratio 95.8% of correctly and overestimated cases is better than the ratio which takes into account only shape alone.

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Literature
1.
go back to reference Argenziano, G., Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134, 1563–1570 (1998)CrossRef Argenziano, G., Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134, 1563–1570 (1998)CrossRef
2.
go back to reference Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. Comput. Vis. Image Underst. (CVIU) 110(3), 346–359 (2008)CrossRef Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. Comput. Vis. Image Underst. (CVIU) 110(3), 346–359 (2008)CrossRef
3.
go back to reference Bigun, J., DuBuf, J.M.H.: N-folded symmetries by complex moments in Gabor space and their application to unsupervized texture segmentation. IEEE Pattern Anal. Mach. Intell. 16(1), 80–87 (1994)CrossRef Bigun, J., DuBuf, J.M.H.: N-folded symmetries by complex moments in Gabor space and their application to unsupervized texture segmentation. IEEE Pattern Anal. Mach. Intell. 16(1), 80–87 (1994)CrossRef
4.
go back to reference Blum, H., Nagel, R.N.: Shape description using weighted symmetric axis features. Pattern Recogn. 10, 167–180 (1978)CrossRef Blum, H., Nagel, R.N.: Shape description using weighted symmetric axis features. Pattern Recogn. 10, 167–180 (1978)CrossRef
5.
go back to reference Brady, M., Asada, H.: Smoothed local symmetries and their implementation. Int. J. Robot. Res. 3(3), 36–61 (1984)CrossRef Brady, M., Asada, H.: Smoothed local symmetries and their implementation. Int. J. Robot. Res. 3(3), 36–61 (1984)CrossRef
6.
go back to reference Cardili, R.N., Roselino, A.M.: Elementary lesions in dermatological semiology: literature review. Anais brasileiros de dermatologia 91(5), 629–633 (2016)CrossRef Cardili, R.N., Roselino, A.M.: Elementary lesions in dermatological semiology: literature review. Anais brasileiros de dermatologia 91(5), 629–633 (2016)CrossRef
7.
go back to reference Chummun, S., McLean, N.R.: The management of malignant skin cancers. Surgery 29(10), 529–533 (2011) Chummun, S., McLean, N.R.: The management of malignant skin cancers. Surgery 29(10), 529–533 (2011)
8.
go back to reference Celebi, M.E., Wen, Q., Iyatomi, H., Shimizu, K., Zhou, H., Schaefer, G.: A state-of-the-art survey on lesion border detection in dermoscopy images. In: Celebi, M.E., Mendonca, T., Marques, J.S. (eds.) Dermoscopy Image Analysis, pp. 97–129. CRC Press, Boca Raton (2015)CrossRef Celebi, M.E., Wen, Q., Iyatomi, H., Shimizu, K., Zhou, H., Schaefer, G.: A state-of-the-art survey on lesion border detection in dermoscopy images. In: Celebi, M.E., Mendonca, T., Marques, J.S. (eds.) Dermoscopy Image Analysis, pp. 97–129. CRC Press, Boca Raton (2015)CrossRef
9.
go back to reference Cross, A.D.J., Hancock, E.R.: Scale space vector fields for symmetry detection. Image Vis. Comput. 17(5–6), 337–345 (1999)CrossRef Cross, A.D.J., Hancock, E.R.: Scale space vector fields for symmetry detection. Image Vis. Comput. 17(5–6), 337–345 (1999)CrossRef
11.
go back to reference Esteva, A., Kuprel, B., Novoa, R.A., Ko, J., Swetter, S.M., Blau, H.M., Thrun, S.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639), 115–118 (2017)CrossRef Esteva, A., Kuprel, B., Novoa, R.A., Ko, J., Swetter, S.M., Blau, H.M., Thrun, S.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639), 115–118 (2017)CrossRef
12.
go back to reference Di Gesù, V., Valenti, C.: Symmetry operators in computer vision. Vistas Astronom. 40(4), 461–468 (1996)CrossRef Di Gesù, V., Valenti, C.: Symmetry operators in computer vision. Vistas Astronom. 40(4), 461–468 (1996)CrossRef
13.
go back to reference Henning, J.S., et al.: The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J. Am. Acad. Dermatol. 56(1), 45–52 (2007)CrossRef Henning, J.S., et al.: The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J. Am. Acad. Dermatol. 56(1), 45–52 (2007)CrossRef
14.
go back to reference Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall of India, New Delhi (2002)MATH Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall of India, New Delhi (2002)MATH
15.
go back to reference Jaworek-Korjakowska, J., Kłeczek, P., Tadeusiewicz, R.: Detection and classification of pigment network in dermoscopic color images as one of the 7-point checklist criteria. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds.) PCBBE 2017. AISC, vol. 647, pp. 174–181. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-66905-2_15CrossRef Jaworek-Korjakowska, J., Kłeczek, P., Tadeusiewicz, R.: Detection and classification of pigment network in dermoscopic color images as one of the 7-point checklist criteria. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds.) PCBBE 2017. AISC, vol. 647, pp. 174–181. Springer, Cham (2018). https://​doi.​org/​10.​1007/​978-3-319-66905-2_​15CrossRef
16.
go back to reference Jaworek-Korjakowska, J., Kłeczek, P., Grzegorzek, M., Shirahama, K.: Automatic detection of blue-whitish veil as the primary dermoscopic feature. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10245, pp. 649–657. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59063-9_58CrossRef Jaworek-Korjakowska, J., Kłeczek, P., Grzegorzek, M., Shirahama, K.: Automatic detection of blue-whitish veil as the primary dermoscopic feature. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10245, pp. 649–657. Springer, Cham (2017). https://​doi.​org/​10.​1007/​978-3-319-59063-9_​58CrossRef
17.
go back to reference Jaworek-Korjakowska, J., Tadeusiewicz, R.: Assessment of asymmetry in dermoscopic colour images of pigmented skin lesions. In: Proceedings of IASTED International Conference on Biomedical Engineering, BioMed 2013, pp. 368–375 (2013) Jaworek-Korjakowska, J., Tadeusiewicz, R.: Assessment of asymmetry in dermoscopic colour images of pigmented skin lesions. In: Proceedings of IASTED International Conference on Biomedical Engineering, BioMed 2013, pp. 368–375 (2013)
18.
go back to reference Jaworek-Korjakowska, J., Tadeusiewicz, R.: Determination of border irregularity in dermoscopic color images of pigmented skin lesions. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 6459–6462 (2014) Jaworek-Korjakowska, J., Tadeusiewicz, R.: Determination of border irregularity in dermoscopic color images of pigmented skin lesions. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 6459–6462 (2014)
19.
go back to reference Jaworek-Korjakowska, J., Tadeusiewicz, R.: Assessment of dots and globules in dermoscopic color images as one of the 7-point check list criteria. In: Proceedings of IEEE International Conference on Image Processing, ICIP 2013, pp. 1456–1460 (2013) Jaworek-Korjakowska, J., Tadeusiewicz, R.: Assessment of dots and globules in dermoscopic color images as one of the 7-point check list criteria. In: Proceedings of IEEE International Conference on Image Processing, ICIP 2013, pp. 1456–1460 (2013)
20.
go back to reference Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of International Conference on Computer Vision, vol. 2, pp. 1150–1157 (1999) Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of International Conference on Computer Vision, vol. 2, pp. 1150–1157 (1999)
21.
22.
go back to reference Manmatha, R., Sawhney, H.: Finding symmetry in intensity images. Technical report (1997) Manmatha, R., Sawhney, H.: Finding symmetry in intensity images. Technical report (1997)
23.
go back to reference Marola, G.: On the detection of the axes of symmetry of symmetric and almost symmetric planar images. IEEE Trans. Pattern Anal. Mach. Intell. 11, 104–108 (1989)CrossRef Marola, G.: On the detection of the axes of symmetry of symmetric and almost symmetric planar images. IEEE Trans. Pattern Anal. Mach. Intell. 11, 104–108 (1989)CrossRef
24.
go back to reference Mehta, R., Egiazarian, K.O.: Rotation invariant texture description using symmetric dense microblock difference. IEEE Sig. Process. Lett. 23(6), 833–837 (2016)CrossRef Mehta, R., Egiazarian, K.O.: Rotation invariant texture description using symmetric dense microblock difference. IEEE Sig. Process. Lett. 23(6), 833–837 (2016)CrossRef
25.
go back to reference Mendoncca, T., Ferreira, P.M., Marques, J.S., Marcal, A.R.S., Rozeira, J.: PH2 - a dermoscopic image database for research and benchmarking. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, pp. 5437–5440 (2013) Mendoncca, T., Ferreira, P.M., Marques, J.S., Marcal, A.R.S., Rozeira, J.: PH2 - a dermoscopic image database for research and benchmarking. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, pp. 5437–5440 (2013)
26.
go back to reference Menzies, S.W., Crotty, K.A., Ingvar, C., McCarthy, W.H.: An Atlas of Surface Microscopy of Pigmented Skin Lesions: Dermoscopy, 2nd edn. McGrawHill, Roseville (2003) Menzies, S.W., Crotty, K.A., Ingvar, C., McCarthy, W.H.: An Atlas of Surface Microscopy of Pigmented Skin Lesions: Dermoscopy, 2nd edn. McGrawHill, Roseville (2003)
27.
go back to reference Milczarski, P.: Skin lesion symmetry of hue distribution. In: Proceedings of IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017, pp. 1006–1013 (2017) Milczarski, P.: Skin lesion symmetry of hue distribution. In: Proceedings of IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017, pp. 1006–1013 (2017)
28.
go back to reference Milczarski, P., Stawska, Z., Maślanka, P.: Skin lesions dermatological shape asymmetry measures. In: Proceedings of IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017, pp. 1056–1062 (2017) Milczarski, P., Stawska, Z., Maślanka, P.: Skin lesions dermatological shape asymmetry measures. In: Proceedings of IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017, pp. 1056–1062 (2017)
29.
go back to reference Milczarski, P., Stawska, Z., Was, L., Wiak, S., Kot, M.: New dermatological asymmetry measure of skin lesions. Int. J. Neural Netw. Adv. Appl. 4, 32–38 (2017). (Prague) Milczarski, P., Stawska, Z., Was, L., Wiak, S., Kot, M.: New dermatological asymmetry measure of skin lesions. Int. J. Neural Netw. Adv. Appl. 4, 32–38 (2017). (Prague)
30.
go back to reference Pathan, S., et al.: Biomed. Sig. Process. Control 39, 237–262 (2018). Elsevier Pathan, S., et al.: Biomed. Sig. Process. Control 39, 237–262 (2018). Elsevier
31.
go back to reference Rosendahl, C., Cameron, A., McColl, I., Wilkinson, D.: Dermatoscopy in routine practice “Chaos and Clues”. Aust. Fam. Phys. 41(7), 482487 (2012) Rosendahl, C., Cameron, A., McColl, I., Wilkinson, D.: Dermatoscopy in routine practice “Chaos and Clues”. Aust. Fam. Phys. 41(7), 482487 (2012)
32.
go back to reference Schmid, P.: Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans. Med. Imaging 18(2), 164–171 (1999)CrossRef Schmid, P.: Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans. Med. Imaging 18(2), 164–171 (1999)CrossRef
33.
go back to reference Shen, D., Ip, H., Cheung, K.T., Teoh, E.K.: Symmetry detection by generalized complex moments: a close-form solution. IEEE Pattern Anal. Mach. Intell. 21(5), 466–476 (1999)CrossRef Shen, D., Ip, H., Cheung, K.T., Teoh, E.K.: Symmetry detection by generalized complex moments: a close-form solution. IEEE Pattern Anal. Mach. Intell. 21(5), 466–476 (1999)CrossRef
34.
go back to reference Shen, D., Ip, H., Teoh, E.K.: An energy of assymmetry for accurate detection of global reflexion axes. Image Vis. Comput. 19, 283–297 (2001)CrossRef Shen, D., Ip, H., Teoh, E.K.: An energy of assymmetry for accurate detection of global reflexion axes. Image Vis. Comput. 19, 283–297 (2001)CrossRef
35.
go back to reference Sirakov, N.M., Mete, M., Chakrader, N.S.: Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions. In: 18th IEEE International Conference on Image Processing, Brussels, pp. 1605–1608 (2011) Sirakov, N.M., Mete, M., Chakrader, N.S.: Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions. In: 18th IEEE International Conference on Image Processing, Brussels, pp. 1605–1608 (2011)
36.
go back to reference Soyer, H.P., Argenziano, G., Hofmann-Wellenhof, R., Zalaudek, I.: Dermoscopy: The Essentials, 2nd edn. Saunders Ltd., Philadelphia (2011) Soyer, H.P., Argenziano, G., Hofmann-Wellenhof, R., Zalaudek, I.: Dermoscopy: The Essentials, 2nd edn. Saunders Ltd., Philadelphia (2011)
37.
go back to reference Soyer, H.P., Argenziano, G., Zalaudek, I., Corona, R., Sera, F., Talamini, R., et al.: Three-point checklist of dermoscopy. A new screening method for early detection of melanoma. Dermatology 208(1), 27–31 (2004)CrossRef Soyer, H.P., Argenziano, G., Zalaudek, I., Corona, R., Sera, F., Talamini, R., et al.: Three-point checklist of dermoscopy. A new screening method for early detection of melanoma. Dermatology 208(1), 27–31 (2004)CrossRef
38.
go back to reference Stolz, W., Riemann, A., Cognetta, A.B., Pillet, L., Abmayr, W., Hölzel, D., et al.: ABCD rule of dermatoscopy: a new practical method for early recognition of malignant melanoma. Eur J. Dermatol. 4, 521–527 (1994) Stolz, W., Riemann, A., Cognetta, A.B., Pillet, L., Abmayr, W., Hölzel, D., et al.: ABCD rule of dermatoscopy: a new practical method for early recognition of malignant melanoma. Eur J. Dermatol. 4, 521–527 (1994)
39.
go back to reference Was, L., Milczarski, P., Stawska, Z., Wyczechowski, M., Kot, M., Wiak, S., Wozniacka, A., Pietrzak, L.: Analysis of dermatoses using segmentation and color hue in reference to skin lesions. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10245, pp. 677–689. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59063-9_61CrossRef Was, L., Milczarski, P., Stawska, Z., Wyczechowski, M., Kot, M., Wiak, S., Wozniacka, A., Pietrzak, L.: Analysis of dermatoses using segmentation and color hue in reference to skin lesions. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2017. LNCS (LNAI), vol. 10245, pp. 677–689. Springer, Cham (2017). https://​doi.​org/​10.​1007/​978-3-319-59063-9_​61CrossRef
40.
go back to reference Wighton, P., Lee, T.K., Lui, H., McLean, D.I., Atkins, M.S.: Generalizing common tasks in automated skin lesion diagnosis. IEEE Trans. Inf Technol. Biomed. 15, 622–629 (2011)CrossRef Wighton, P., Lee, T.K., Lui, H., McLean, D.I., Atkins, M.S.: Generalizing common tasks in automated skin lesion diagnosis. IEEE Trans. Inf Technol. Biomed. 15, 622–629 (2011)CrossRef
41.
go back to reference Xie, F., Bovik, A.C.: Automatic segmentation of dermoscopy images using self-generating neural networks seeded by genetic algorithm. Pattern Recognit. 46, 1012–1019 (2013)CrossRef Xie, F., Bovik, A.C.: Automatic segmentation of dermoscopy images using self-generating neural networks seeded by genetic algorithm. Pattern Recognit. 46, 1012–1019 (2013)CrossRef
42.
go back to reference Zabrodsky, H., Peleg, S., Avnir, D.: Symmetry as a continuous feature. IEEE Pattern Anal. Mach. Intell. 17(12), 1154–1166 (1995)CrossRef Zabrodsky, H., Peleg, S., Avnir, D.: Symmetry as a continuous feature. IEEE Pattern Anal. Mach. Intell. 17(12), 1154–1166 (1995)CrossRef
43.
go back to reference Zavidovique, B., Di Gesù, V.: The S-kernel: ameasure of symmetry of objects. Pattern Recogn. 40, 839–852 (2007)CrossRef Zavidovique, B., Di Gesù, V.: The S-kernel: ameasure of symmetry of objects. Pattern Recogn. 40, 839–852 (2007)CrossRef
Metadata
Title
Symmetry of Hue Distribution in the Images
Author
Piotr Milczarski
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-91262-2_5

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