Regular ArticleRecognition of Partial Circular Shapes from Segmented Contours
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An online, non-destructive method for simultaneously detecting chemical, biological, and physical properties of herbal injections using hyperspectral imaging with artificial intelligence
2022, Spectrochimica Acta - Part A: Molecular and Biomolecular SpectroscopyImage processing for the experimental investigation of dense dispersed flows: Application to bubbly flows
2019, International Journal of Multiphase FlowCitation Excerpt :Although the Hough transformation is very interesting for the detection of spherical objects, it is known to be expensive in time and memory and to be unsuitable for the detection of partially occluded circular shape objects. To overcome this difficulty, Pla (1996) proposed a method based on the calculation of the curvature of objects contours to detect connecting points that correspond to the intersection of two bubble contours: segments having a constant curvature are identified to be object contours, then, the overlapping contours are separated thanks to the analysis of the derivative of the curvature. The application of this method on real complex images enables the detection of full and partially occluded spherical objects.
An efficiency improved recognition algorithm for highly overlapping ellipses: Application to dense bubbly flows
2018, Pattern Recognition LettersCitation Excerpt :The curvature of a 2D set boundary exists if the arc boundary of the regarded set is twice differentiable with continous second derivative. Methods to compute the curvature of a boundary set on a 2D image can be found in [20]. These connecting points can therefore be interpreted as concavity points, which will be used by the detection algorithm.
An integrative image measurement technique for dense bubbly flows with a wide size distribution
2015, Chemical Engineering ScienceCitation Excerpt :Thus, ignoring these clusters in the measurement would bias the estimations. To consider the size of such bubble clusters, some authors have proposed to approximate the overlapping bubbles through an object recognition approach which fits an ellipsoidal shape to the object areas (Pla, 1996; Honkanen et al., 2005). Some other reports have focused upon segmenting these clusters by implementing watershed algorithm (Bonifazi et al., 1999; Lin et al., 2008; Zhou et al., 2010; Zhang et al., 2011; Lau et al., 2013).
Automated crop field extraction from multi-temporal Web Enabled Landsat Data
2014, Remote Sensing of EnvironmentOn covering a digital disc with concentric circles in ℤ<sup>2</sup>
2013, Theoretical Computer ScienceCitation Excerpt :In later years, several approaches have been suggested for improving the method of circle construction or circle approximation [2,4,7,25,32,35,43,46–48]. Added to this, is the more challenging problem on recognizing circular arcs/objects in digital images, which have several solutions based on characterization and parameterization of circular arcs [10–12,14,16,23,26,30,36,37,39,40]. This paper is focused on identifying and characterizing the absentee pixels (2D points with integer coordinates) in the cover of a digital disc with concentric digital circles.