A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental Arc Segmentation Algorithm and Its Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Interpretation of Line Drawing Images: Technical Drawings, Maps, and Diagrams
Machine Interpretation of Line Drawing Images: Technical Drawings, Maps, and Diagrams
A Rotation Invariant Rule-Based Thinning Algorithm for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Level set analysis for leukocyte detection and tracking
IEEE Transactions on Image Processing
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This paper addresses the segmentation of crystalline Zinc oxide nanocolumns from microscopic images. ZnO is a direct band semiconductor suitable for many applications whose interest has been growing recently. One of these applications are light-collecting devices such as solar cells, using nanostructured substrates. Electrodeposition is a low cost technique very suitable for the preparation of nanostructured ZnO, producing nanocolumnar ZnO crystals with a morphology that depends on the deposition parameters and the substrate characteristics. The parameters of the sample can be determined processing images of the nanostructures, which is the objective of this study.