Autors: Georgieva, V. M., Petrov, P. P., Dimitrov, L. V. Title: A Multistage Approach for Detection of Objects with Rectangular Forms Keywords: edge detection; formatting; Hough transform; image enhanceme Abstract: This paper proposes a multistage approach for detection of different objects with rectangular shape forms in real images. It consists of image enhancement, following by edge detection to suppress most possible false edges, and modification of Hough Transform. Peaks of the Hough image are extracted, and a rectangle is detected when these peaks satisfy certain geometric conditions. Some experimental results are given to illustrate the effectiveness of the proposed approach.This paper proposes a multistage approach for detection of different objects with rectangular shape forms in real images. It consists of image enhancement, following by edge detection to suppress most possible false edges, and modification of Hough Transform. Peaks of the Hough image are extracted, and a rectangle is detected when these peaks satisfy certain geometric conditions. Some experimental results are given to illustrate the effectiveness of the proposed approach. References Issue
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Цитирания (Citation/s):
1. Vetova, S. Big data workflow platforms for science. Open access. AIP Conference Proceedings 2333,030008 - 2021 - в издания, индексирани в Scopus или Web of Science
2. Vetova, S. Comparative analysis on CNN and wavelet features based technology for medical image classification. Open access. AIP Conference Proceedings 2333,030003 - 2021 - в издания, индексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus