Literature DB >> 19017231

Canny optimization technique for electron microscope image colourization.

K S Sim1, C P Tso, H Y Ting.   

Abstract

Images of scanning electron microscope are usually in the monochrome mode. A simple and user-friendly approach is proposed to improve the mechanical contrast of the scanning electron microscope grey images. Also, most colourization techniques involve image segmentation or region tracking, which tend to degrade the image with fuzzy or complex region boundaries. A technique is proposed, which is a hybrid between the Canny edge detection technique and the optimization technique. Compared with existing methods, the new Canny optimization technique gives satisfactory results for scanning electron microscope images.

Year:  2008        PMID: 19017231     DOI: 10.1111/j.1365-2818.2008.02103.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  2 in total

1.  Edge detection and mathematic fitting for corneal surface with Matlab software.

Authors:  Yue Di; Mei-Yan Li; Tong Qiao; Na Lu
Journal:  Int J Ophthalmol       Date:  2017-03-18       Impact factor: 1.779

2.  Measuring the Ocular Morphological Parameters of Guinea Pig Eye with Edge Detection and Curve Fitting.

Authors:  Yue Di; Ying Huang; Ya-Jing Yang; Xing-Tao Zhou; Wen-Ting Luo; Hai-Yun Ye; Zhong-Bao Qiao; Na Lu; Tong Qiao
Journal:  Comput Math Methods Med       Date:  2020-12-18       Impact factor: 2.238

  2 in total

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