An Adaptive Two-Stage Edge Detection Scheme for Digital Color Images |
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| Affiliation: | 1. Department of Animal Science, Universidade do Estado de Santa Catarina (UDESC), Chapecó, SC, Brazil;2. Graduate Program of Animal Science, UDESC, Chapecó, SC, Brazil;3. Graduate Program of Toxicological Biochemistry, Universidade Federal de Santa Maria (UFSM), Santa Maria, RS, Brazil;4. Veterinary Pathology Laboratory, Instituto Federal Catarinense (IFC), Concórdia, SC, Brazil;5. Graduate Program of Pharmacology, UFSM, Santa Maria, Brazil;1. Mathematics Department, Faculty of Science, Zagazig University, Zagazig, Egypt;2. Department of Physics, Chemistry and Mathematics, Alabama A&M University, Normal, AL 35762-4900, USA;3. Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia;4. Department of Applied Mathematics, National Research Nuclear University, 31 Kashirskoe Shosse, Moscow 115409, Russian Federation;5. Department of Mathematics and Statistics, Tshwane University of Technology, Pretoria 0008, South Africa;6. Departamento de Matematicas Aplicadas y Sistemas, Universidad Autonoma Metropolitana-Cuajimalpa, Vasco de Quiroga 4871, Mexico City 05348, Mexico;7. Department of Mathematics, Faculty of Arts and Sciences, Near East University, Nicosia 99138, Cyprus;8. Science Program, Texas A&M University at Qatar, PO Box 23874, Doha, Qatar |
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| Abstract: | An adaptive two-stage edge detection scheme for digital color images is proposed in this paper. In the first stage of this scheme, each three-dimensional color image is reduced to a one-dimensional gray-level image using the moment-preserving thresholding technique. Then, a new edge detection technique based on the block truncation coding scheme is introduced to detect the edge boundary in the second stage. The edge detection process makes use of the bit plane information of each BTC-encoded block to detect the edge boundary. The experimental results show that the performance of the detected edge image of the proposed scheme is as good as in Yang's scheme and in the Sobel operator. However, the computational cost consumed by the proposed scheme is less than that of Yang's scheme. In addition, the proposed scheme provides an adaptive edge quality decision mechanism. This mechanism can provide different edge images to meet various applications and the subjective evaluation. Moreover, this scheme locates the edge boundaries to the sub-pixel accuracy, which is an advantage to applications such as data hiding and image watermarking. |
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