Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Adaptive Image Steganalysis Adaptive Image Segmentation using Enhanced Canny Edge Detection Algorithm

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308867,
        author={B  Yamini and S.  Madhurikkha and Shahul Hameed Chettali and Mercy Theresa M and A.  Jesudoss},
        title={Adaptive Image Steganalysis Adaptive Image Segmentation using Enhanced Canny Edge Detection Algorithm},
        proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
        publisher={EAI},
        proceedings_a={I3CAC},
        year={2021},
        month={6},
        keywords={adaptive image steganalysis enhanced canny edge detection histogram of oriented gradient matrix quad tree markov random field support vector machine},
        doi={10.4108/eai.7-6-2021.2308867}
    }
    
  • B Yamini
    S. Madhurikkha
    Shahul Hameed Chettali
    Mercy Theresa M
    A. Jesudoss
    Year: 2021
    Adaptive Image Steganalysis Adaptive Image Segmentation using Enhanced Canny Edge Detection Algorithm
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308867
B Yamini1,*, S. Madhurikkha2, Shahul Hameed Chettali3, Mercy Theresa M4, A. Jesudoss5
  • 1: Assistant Professor, Department of CSE, College of Engineering and Technology, SRM Institute of Science & Technology (SRMIST), Kattankulathur, Tamil Nadu, India
  • 2: Assistant Professor, Department of CSE, Jeppiaar Engineering College, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai, Tamil Nadu, India
  • 3: Assistant Professor, Institute of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, India
  • 4: Associate Professor, Department of ECE, Prince Shri Venkateswara Padmavathy Engineering College, Chennai, Tamil Nadu, India
  • 5: AffiliationAssociate Professor, Dept. of CSE, Sathyabama Institute of Science and Technology, Chennai
*Contact email: yamini.subagani@gmail.com

Abstract

An expertise method to conceal secret messages in blameless mediums such as videos, audios, texts and digital images by cheating the Human Visual System (HVS) is termed as steganography. Blind Steganalysis is the striking technique to identify, excerpt hidden information from multimedia file with concealed secret information called stego media. To conceal the hidden message, adaptive image steganography determines the exact color adaptive regions or payload locations of the image. Adaptive image steganography's reverse in return is adaptive image steganalysis, in which the secret messages are dig out from the image's color adaptive regions for a familiar or unfamiliar steganographic algorithm that was used for steganography. In the first phase of the adaptive image steganalysis, the adaptive regions of the image are segmented in such a way that the color intensity values of the pixels are compared and grouped to form a region. Enhanced canny edge detection operator outperforms other segmentation algorithms. In the second phase, the statistical features of the pixels are extracted from the spatial domain region using Histogram of Oriented Gradient (HOG) and MatriX Quadtree (MX Quadtree) method. Feature selection from the extracted feature vector subset is done based on distance correlation coefficient method and Markov Random Field (MRF) Cliques method along with a ranking based wrapper approach. In the third phase, classification of