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Specular Reflection Analysis and Image Denoising in Cervix Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 24 |
| Year of Publication: 2023 |
| Authors: Deepak B. Patil, T.S. Vishwanath |
10.5120/ijca2023923000
|
Deepak B. Patil, T.S. Vishwanath . Specular Reflection Analysis and Image Denoising in Cervix Images. International Journal of Computer Applications. 185, 24 ( Jul 2023), 33-37. DOI=10.5120/ijca2023923000
Abstract
Colposcopy is a crucial imaging technique for finding cervical abnormalities. Colposcopic image analysis, particularly the accurate segmentation of the cervical region, has significant clinical significance. It is suggested to divide and extract the cervical region in a medical and anatomical sense using a cervical segmentation approach based on the HSV colour mode. First, the histogram (Y) of the colposcopic image is examined using the histogram threshold approach. Pretreatment is required in the colposcopy image in order to remove the mirror reflection. The Preprocessed RGB pictures are used second. Segmentation of the cervical region can be obtained by applying the area filter to smooth the edge. 100 common colposcopy photos that had been expertly tagged were evaluated and verified for our study. Accuracy, sensitivity, specificity positive predictive value, and negative predictive value were used to analyse and compare the findings. Our experimental findings demonstrate that the method's accuracy, specificity, and sensitivity are, respectively, 88.25%, 80.99%, and 95%.
References
- Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F et al (2016) Cancer statistics in china 2015. CA Cancer J Clin 66(2):115–132
- Pfaendler KS, Wenzel L, Mechanic MB, Penner KR (2015) Cervical cancer survivorship: long-term quality of life and social support. Clin Therapeut 37:39–48
- Dempsey C, Govindarajulu G, Sridharan S et al (2014) Implications for dosimetric changes when introducing MR-guided brachy- therapy for small volume cervix cancer: a comparison of CT and MR-based treatments in a single centre. Australas Phys Eng Sci Med 37(4):705–712
- Cronje HS (2004) Screening for cervical cancer in developing countries. Int J Gynecol Obstet 84:101–108
- Sun YP, Sargent D, Lieberman R, Gustafsson U (2011) Domain-specific image analysis for cervical neoplasia detection based on conditional random fields. IEEE Trans Med Imaging 30:867–878
- Sun YP, Sargent D, Lieberman R et al (2011) Domain-specific image analysis for cervical neoplasia detection based on conditional random fields. IEEE Trans Med Imaging 30(3):867–878
- Gordon S, Zimmerman G, Greenspan H (2004) Image segmentation of uterine cervix images for indexing in PACS. In: Proceedings of the IEEE symposium on computer-based medical systems, pp 298–298
- Li W, Poirson A (2006) Detection and characterization of abnormal vascular patterns in automated cervical image analysis, Advances in Visual Computing. Springer, Berlin, pp 627–636
- Van Raad V (2003) Design of Gabor wavelets for analysis of texture features in cervical images. Engineering in Medicine and Biology Society. In: Proceedings of the international conference of the IEEE, pp 806–809
- Liu J, Li L, Wang L (2018) Acetowhite region segmentation in uterine cervix images using a registered ratio image. Comput Biol Med 93:47–55
- Obukhova NA, Motyko AA, Kang U et al (2017) Automated image analysis in multispectral system for cervical cancer diagnostic. In: Conference of Open Innovations Association, pp 345–351
- Hervet, E., Kardouchi, M.: Segmentation and histogram transform of color colposcopic images. In: International. Conference on Signal and Image Processing (ICISP). Volume 2., Agadir, Morocco (2003) 412{420}
- Van-Raad, V.: Frequency space analysis of cervical images using short time Fourier transform. in Proceedings of the IASTED International Conference of Biomedical Engineering 1 (2003) 77{81}
- Klinker, G., Shafer, S.A., Kanade, T.: The measurement of highlights in color images. International Journal of Computer Vision 2 (1988) 7{32}
- Gershon, R., Jepson, A.D., Tsotsos, J.K.: Highlight identification using chromatic information. In: Proceedings of the first International Conference on Computer Vision (ICCV). (1987) 161{171}
- Xue Z, Antani S, Long LR et al (2007) Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis. Proc SPIE 6512(1):187–189
- Karapetyan G, Sarukhanyan H (2013) Automatic detection and concealment of specular reflections for endoscopic images. In: Computer science and information technologies, IEEE, pp. 1–8
- Guillemot C, Meur OL (2013) Image inpainting: overview and recent advances. IEEE Signal Process Mag 31(1):127–144
- Castle PE, Stoler MH, Solomon D et al (2007) The relationship of community biopsy-diagnosed cervical intraepithelial neoplasia grade 2 to the quality control pathology-reviewed diagnoses: an ALTS report. Am J Clin Pathol 127(5):805–815
- Corrêa FM, Russomano FB, Oliveira CA (2012) Colposcopic triage methods for detecting cervical intraepithelial neoplasia grade 3 after cytopathological diagnosis of low-grade squamous intraepithelial lesion: a systematic review on diagnostic tests. São Paulo Med J Revista paulista de medicina 130(1):44–52
- Xue Z, Antani S, Long LR et al (2007) Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis. Medical Imaging 2007: Image Processing. International Society for Optics and Pho- tonics, pp 187–189
- Maheswari GU, Ramar K, Manimegalai D et al (2011) Short communication: an adaptive region-based color texture segmentation using fuzzified distance metric. Appl Soft Comput J 11(2):2916–2924
- Stehle TH (2006) Specular reflection removal in endoscopic images. In: Proceedings of the 10th international student conference on electrical engineering, vol 10, pp 1–6.
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