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| Violet F. Leavers, "Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1411-1423, December, 2000. | |||
| BibTex | x | ||
| @article{ 10.1109/34.895975, author = {Violet F. Leavers}, title = {Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {22}, number = {12}, issn = {0162-8828}, year = {2000}, pages = {1411-1423}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.895975}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles IS - 12 SN - 0162-8828 SP1411 EP1423 EPD - 1411-1423 A1 - Violet F. Leavers, PY - 2000 KW - Radon Transform KW - shape characterization KW - powder particle technology KW - wear particles. VL - 22 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—A novel image processing technique for the extraction of parameters characteristic of the shape and angularity of abrasive powder particles is proposed. The image data are not analyzed directly. Information concerning angularity and shape is extracted from the parametric transformation of the 2D binarized edge map. The transformation process used, the Radon Transform, is one to many, that is, each image point generates in transform space the parameters of all the possible curves on which it may lie and the resulting distribution is an accumulation of that evidence. Once the image data are segmented, the technique has the potential to deliver a comprehensive numerical description of the shape and angularity of the particles under investigation without the need for further interaction by the operator. The parameters obtained are arranged into a Taxonomy according to their usefulness in categorizing the shapes under inspection. The technique is novel in that it offers an analytical definition of a corner and its apex and it automatically selects only those protrusions coincident with the convex hull of the shape and, hence, those most likely to contribute to the process of abrasion. The advantages and potential pitfalls of using the technique are illustrated and discussed using real image data.
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