Academic Journal

A Low Redundancy Wavelet Entropy Edge Detection Algorithm

التفاصيل البيبلوغرافية
العنوان: A Low Redundancy Wavelet Entropy Edge Detection Algorithm
المؤلفون: Tao, Yiting, Scully, Thomas, Perera, Asanka G., Lambert, Andrew, Chahl, Javaan
بيانات النشر: MDPI AG
سنة النشر: 2021
المجموعة: University of Southern Queensland: USQ ePrints
مصطلحات موضوعية: Shannon entropy, wavelet decomposition, edge detection
الوصف: Fast edge detection of images can be useful for many real-world applications. Edge detection is not an end application but often the first step of a computer vision application. Therefore, fast and simple edge detection techniques are important for efficient image processing. In this work, we propose a new edge detection algorithm using a combination of the wavelet transform, Shannon entropy and thresholding. The new algorithm is based on the concept that each Wavelet decomposition level has an assumed level of structure that enables the use of Shannon entropy as a measure of global image structure. The proposed algorithm is developed mathematically and compared to five popular edge detection algorithms. The results show that our solution is low redundancy, noise resilient, and well suited to real-time image processing applications.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
Relation: https://research.usq.edu.au/download/47f012fbaf4ba30415c1255c708f67343134f26feb0b09172dc30e8253220c75/22675408/jimaging-07-00188-v2.pdf; https://doi.org/10.3390/jimaging7090188; Tao, Yiting, Scully, Thomas, Perera, Asanka G., Lambert, Andrew and Chahl, Javaan. 2021. "A Low Redundancy Wavelet Entropy Edge Detection Algorithm." Journal of Imaging. 7 (9). https://doi.org/10.3390/jimaging7090188
DOI: 10.3390/jimaging7090188
الاتاحة: https://research.usq.edu.au/item/z77wy/a-low-redundancy-wavelet-entropy-edge-detection-algorithm
https://research.usq.edu.au/download/47f012fbaf4ba30415c1255c708f67343134f26feb0b09172dc30e8253220c75/22675408/jimaging-07-00188-v2.pdf
https://doi.org/10.3390/jimaging7090188
Rights: CC BY 4.0
رقم الانضمام: edsbas.A58E5EF9
قاعدة البيانات: BASE