Browsing by Author "Deb, Kaushik"

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    Analyzing MRI Segmentation Based on Wavelet and BEMD using Fuzzy C-Means Clustering
    (Department of Computer Science and Engineering, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, 12-Dec-2016) Khaliluzzaman, Md.; Dolon, Lamia Iqbal; Deb, Kaushik
    Segmentation of images means a great matter for the medical field treatment purpose. For the extraction of brain polyps, magnetic resonance image (MRI) processing contributes in a wide range. Usually it works in two ways: white matter and
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    Combined DWT-DCT Based Digital Image Watermarking Technique for Copyright Protection
    (Department of Electrical and Electronics Engineering, Bangladesh University of Engineering & Technology, 20-Dec-2012) Deb, Kaushik; Seraj, Md. Sajib Al-; Hoque, Md. Moshiul; Sarkar, Md. Iqbal Hasan
    A combined DWT and DCT based watermarking
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    Human Detection Based on HOG-LBP for Monitoring Sterile Zone
    (Faculty of Electrical and Computer Engineering, CUET, 7-Feb-2019) Kamal, Farjana Bintay; Mitra, Sangita; Khanam, Tahmina; Acharjee, Uzzal K.; Das, Dipankar; Deb, Kaushik
    Human detection has enormous application area in
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    International Workshop on Computational Intelligence (IWCI) 2016
    (Department of Computer Science and Engineering, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, 12-Dec-2016) Deb, Kaushik; Khaliluzzaman, Md.; Dolon, Lamia Iqbal; Sarker, Dhiman Kumar; Hossain, Nafize Ishtiaque; Jamil, Insan Arafat
    Abstract— In the traditional attendance system of Bangladesh, the teachers either call the name or identity number of the students to which the students respond or pass the attendance sheet to the students to sign. With the increase of the number of students in the last two decades, the difficulties in attendance management system has increased remarkably. Again, in case of passing attendance sheet to the students, some students sign multiple times and proxy attendance is taken. These two systems are very
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    Stairways detection based on approach evaluation and vertical vanishing point
    (Int. J. Computational Vision and Robotics, 2018) Khaliluzzaman, Md.; Deb, Kaushik
    Stair region detection and distance estimation from a stair image are challenging activities to support visually impaired navigation safely in unknown environments. In this paper, a framework is proposed for detecting stair region from a stair image utilising some natural and unique property of a stair. One unique property of them is, every stair step’s beginning and ending horizontal edge point intersects with two vertical edge points creating three connected point (TCP). The TCPs are used to validate the stair edge segments and calculate the vertical vanishing point to justify the stair edges. This justification ensures that validated edge segments are arranged in an increasing parallel order which is the other unique property of a stair. These increasing edge segments are verified by utilising the y coordinate value of the vanishing point and the detection of stair candidate region is confirmed by these properties. In addition, the triangular similarity is used for distance estimation from camera to stair. The proposed framework is tested using various stair images under a variety of conditions and results are presented to demonstrate the efficiency and effectiveness.