Research Article
A Fast Region Segmentation Algorithm for Water Meter Image Based on Adaptive Seed Point Selection
@INPROCEEDINGS{10.1007/978-3-030-99188-3_3, author={Hongchao Zhou and Yongjun Liu and Zhenjiang Qian}, title={A Fast Region Segmentation Algorithm for Water Meter Image Based on Adaptive Seed Point Selection}, proceedings={Intelligent Technologies for Interactive Entertainment. 13th EAI International Conference, INTETAIN 2021, Virtual Event, December 3-4, 2021, Proceedings}, proceedings_a={INTETAIN}, year={2022}, month={3}, keywords={Image processing Region segmentation Water meter Connected component analysis}, doi={10.1007/978-3-030-99188-3_3} }- Hongchao Zhou
Yongjun Liu
Zhenjiang Qian
Year: 2022
A Fast Region Segmentation Algorithm for Water Meter Image Based on Adaptive Seed Point Selection
INTETAIN
Springer
DOI: 10.1007/978-3-030-99188-3_3
Abstract
This paper presents a fast region segmentation algorithm segmentation based on adaptive selection of seed points and without distance evaluation for water meter image. When the binary image of water meter is segmented, in order to better balance the precision and efficiency of segmentation, the algorithm adaptively selects some points in a specific line of the image as seed points. At the same time, the algorithm adopts a method similar to the connected component analysis algorithm, which takes the value of the point to be detected rather than the distance between the seed point and the point to be detected as the basis for region growth, which not only preserves the characteristics of high segmentation accuracy of the region segmentation algorithm, but also improves the segmentation efficiency. By analyzing the segmentation results of different algorithms for the same water meter image and their algorithm complexity, it is shown that the proposed algorithm has the highest segmentation efficiency, but the accuracy is not lower than other algorithms.
