A Parametric Active Polygon for Leaf Segmentation and Shape Estimation

In this paper we present a system for tree leaf segmentation in natural images that combines a first, unrefined segmentation step, with an estimation of descriptors depicting the general shape of a simple leaf. It is based on a light polygonal model, built to represent most of the leaf shapes, that will be deformed to fit the leaf in the image. Avoiding some classic obstacles of active contour models, this approach gives promising results, even on complex natural photographs, and constitutes a solid basis for a leaf recognition process.

[1]  Takeshi Saitoh,et al.  Automatic recognition of blooming flowers , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[2]  Julien Mille,et al.  Narrow band region-based active contours and surfaces for 2D and 3D segmentation , 2009, Comput. Vis. Image Underst..

[3]  Sean White,et al.  Searching the World's Herbaria: A System for Visual Identification of Plant Species , 2008, ECCV.

[4]  Sadegh Abbasi,et al.  Matching shapes with self-intersections:application to leaf classification , 2004, IEEE Transactions on Image Processing.

[5]  Anthony J. Yezzi,et al.  Information-Theoretic Active Polygons for Unsupervised Texture Segmentation , 2005, International Journal of Computer Vision.

[6]  Pedro F. Felzenszwalb.  Representation and detection of deformable shapes , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[7]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[8]  Daniel Cremers,et al.  Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional , 2002, International Journal of Computer Vision.

[9]  Mohamed S. Kamel,et al.  Image Analysis and Recognition , 2014, Lecture Notes in Computer Science.

[10]  Clement H. C. Leung,et al.  Advances in Visual Information Systems, 9th International Conference, VISUAL 2007, Shanghai, China, June 28-29, 2007 Revised Selected Papers , 2007, VISUAL.

[11]  Alan L. Yuille,et al.  Feature extraction from faces using deformable templates , 2004, International Journal of Computer Vision.

[12]  Andrew Zisserman,et al.  Delving into the Whorl of Flower Segmentation , 2007, BMVC.

[13]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[14]  Yung-Sheng Chen,et al.  Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints , 2009, ICIAR.

[15]  Charles Flahault,et al.  Flore descriptive et illustrée de la France, de la Corse et des contrées limitrophes , 1901 .

[16]  Qing Wang,et al.  Leaf Image Retrieval with Shape Features , 2000, VISUAL.

[17]  Gilles Rabatel,et al.  AE—Automation and Emerging Technologies: Weed Leaf Image Segmentation by Deformable Templates , 2001 .

[18]  Andrew J. Davison,et al.  Active Matching , 2008, ECCV.

[19]  Xiaofeng Wang,et al.  Classification of plant leaf images with complicated background , 2008, Appl. Math. Comput..