On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
Non-parametric dominant point detection
Pattern Recognition
Optimum polygonal approximation of digitized curves
Pattern Recognition Letters
Circular arc detection based on Hough transform
Pattern Recognition Letters
Recognition of partial circular shapes from segmented contours
Computer Vision and Image Understanding
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
A method for recognizing particles in overlapped particle images
Pattern Recognition Letters
An efficient algorithm for the optimal polygonal approximation of digitized curves
Pattern Recognition Letters
A Fast Algorithm for Dominant Point Detection on Chain-Coded Contours
CAIP '93 Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Polygonal approximation of digital planar curves through break point suppression
Pattern Recognition
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Direct imaging technology is an effective and convenient method for the estimation of bubble size distribution (BSD). However, overlapping bubble has an influence on BSD when gas holdup is more than 1%. In this paper, we present a new method of overlapping elliptical bubble recognition to determine bubble size. The method mainly includes two steps: contour segmentation and segment grouping. Contour segmentation is on the assumption that the concave points in the dominant point sequence are always the connecting points, and segment grouping is mainly based on the average distance deviation criterion. Both simulated images and real bubble images are used to evaluate this new method. The results show that it is effective in the recognition of overlapping elliptical bubbles and have a potential in other elliptical object recognition. In the last, two methods are used for BSD estimation. It is found that the bubble size (such d10 or d32) estimated by the ignore method is slightly smaller than that estimated by the recognition method.