New Method to Improve Illumination Variations in Adult Images Based on Fuzzy Deep Neural Network

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Karamizadeh Sasan; ARABSORKHI ABOUZAR

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Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2020 | Volume:11 | Issue:41-42 Page(s): 1-13

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Title

New Method to Improve Illumination Variations in Adult Images Based on Fuzzy Deep Neural Network

Author(s)

Karamizadeh Sasan | ARABSORKHI ABOUZAR | Issue Writer Certificate

Keywords

ILLUMINATION VARATIONQ1

SKIN CLASSIFICATIONQ1

ADULT IMAGEQ1

SVMQ1

GAUSSIAN-KNNQ1

Abstract

In the era of the Internet, recognition of ADULT IMAGEs is important to children's physical and mental protection. It is a challenge to recognize ADULT IMAGEs with changes in the illumination and skin color. In this paper, we proposed a new method for solving illumination normalization with skin color classification in the diagnosis of the ADULT IMAGE. In this paper, the deep fuzzy neural network method is utilized to improve the illumination normalization of ADULT IMAGEs, which has improved the recognization of ADULT IMAGEs is utilized. Using Xception to dividing the images and reduce the illumination variations in each part separately, which makes it possible to reduce the illumination variation in the whole image without losing details. In addition, the advanced color combination algorithm based on GAUSSIAN-KNN algorithm is used for skin color classification, a non-parametric method is used for classifications and regressions. Finally, the SVM algorithm is utilized for image classification. In this paper, 33, 000 different types of images are collected from the Internet. The results show that the proposed method of 1/3 has improved the accuracy of the recognization.

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APA: Copy

Karamizadeh, Sasan, & ARABSORKHI, ABOUZAR. (2020). New Method to Improve Illumination Variations in Adult Images Based on Fuzzy Deep Neural Network. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 11(41-42 ), 1-13. SID. https://sid.ir/paper/370380/en

Vancouver: Copy

Karamizadeh Sasan, ARABSORKHI ABOUZAR. New Method to Improve Illumination Variations in Adult Images Based on Fuzzy Deep Neural Network. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2020;11(41-42 ):1-13. Available from: https://sid.ir/paper/370380/en

IEEE: Copy

Sasan Karamizadeh, and ABOUZAR ARABSORKHI, “New Method to Improve Illumination Variations in Adult Images Based on Fuzzy Deep Neural Network,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 11, no. 41-42 , pp. 1–13, 2020, [Online]. Available: https://sid.ir/paper/370380/en

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