Texture Edge detection by Patch consensus (TEP)

التفاصيل البيبلوغرافية
العنوان: Texture Edge detection by Patch consensus (TEP)
المؤلفون: Cui, Guangyu, Kang, Sung Ha
سنة النشر: 2024
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Mathematics - Numerical Analysis
الوصف: We propose Texture Edge detection using Patch consensus (TEP) which is a training-free method to detect the boundary of texture. We propose a new simple way to identify the texture edge location, using the consensus of segmented local patch information. While on the boundary, even using local patch information, the distinction between textures are typically not clear, but using neighbor consensus give a clear idea of the boundary. We utilize local patch, and its response against neighboring regions, to emphasize the similarities and the differences across different textures. The step of segmentation of response further emphasizes the edge location, and the neighborhood voting gives consensus and stabilize the edge detection. We analyze texture as a stationary process to give insight into the patch width parameter verses the quality of edge detection. We derive the necessary condition for textures to be distinguished, and analyze the patch width with respect to the scale of textures. Various experiments are presented to validate the proposed model.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2403.11038
رقم الأكسشن: edsarx.2403.11038
قاعدة البيانات: arXiv