Autors: Georgieva, V. M.
Title: An Approach for Pit Pattern Recognition in Colonoscopy Images
Keywords: Narrow band images enhancement, pit pattern recognition, Kudo’s classifications system, Hu-moments algorithm

References

    Issue

    Egyptian Computer Science Journal, vol. 39, issue 2, pp. 72-82, 2015, Egypt, Egyptian Computer Society, ISBN ISSN 1110 – 2586

    Цитирания (Citation/s):
    1. Ismail R., Nagy S. (2021) On Metrics Used in Colonoscopy Image Processing for Detection of Colorectal Polyps. In: Kountchev R., Mironov R., Li S. (eds) New Approaches for Multidimensional Signal Processing. Smart Innovation, Systems and Technologies, vol 216. Springer, Singapore - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Sziová B., Nagy S., Kóczy L.T. (2021) The Effects of Preprocessing on Colorectal Polyp Detecting by Fuzzy Algorithm. In: Shahbazova S., Kacprzyk J., Balas V., Kreinovich V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 393. Springer, Cham - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Nagy S., Lilik F., Sziová B., Kovács M., Kóczy L.T. (2021) On the Applicability of Fuzzy Rule Interpolation and Wavelet Analysis in Colorectal Image Segment Classification. In: Lesot MJ., Marsala C. (eds) Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications. Studies in Fuzziness and Soft Computing, vol 394. Springer, Cham - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в реферирано издание, индексирана в Google Scholar