TY - GEN
T1 - Vessel Silhouette Identification Based on Edge Detection
AU - Chuaysi, Buncha
AU - Kiattisin, Supaporn
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The purpose of this paper is to demonstrate how AI identify vessels with dusky images. In this study, we use the calculation of tangent-Angles along the boundary of dusky image and reduced the data dimensions by using a piecewise aggregate approximation (PAA). Finally, we used well-known distance function such Dynamic Time Warping (DTW) for well-known classifier such k-Nearest Neighbor (k-NN). We applied this method to vessels silhouette images and found that it provides a good result for this approach.
AB - The purpose of this paper is to demonstrate how AI identify vessels with dusky images. In this study, we use the calculation of tangent-Angles along the boundary of dusky image and reduced the data dimensions by using a piecewise aggregate approximation (PAA). Finally, we used well-known distance function such Dynamic Time Warping (DTW) for well-known classifier such k-Nearest Neighbor (k-NN). We applied this method to vessels silhouette images and found that it provides a good result for this approach.
UR - https://www.scopus.com/pages/publications/85082387752
U2 - 10.1109/TIMES-iCON47539.2019.9024669
DO - 10.1109/TIMES-iCON47539.2019.9024669
M3 - Conference contribution
AN - SCOPUS:85082387752
T3 - TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference
BT - TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2019
Y2 - 11 December 2019 through 13 December 2019
ER -