Image processing approaches to biological three-dimensional electron microscopy

Herman, Gabor T.; Marabini, Roberto; Carazo, José Marı́a; Garduño, Edgar; Lewitt, R.M.; Matej, Samuel

doi:10.1002/(sici)1098-1098(2000)11:1<12::aid-ima3>3.0.co;2-n

Cited by 15 publications

(8 citation statements)

References 82 publications

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“…In [43] , [44] , the enhancement of ceramic images is performed by using Curvelet and watershed algorithms. They have performed both the enhancement of images and reduction of noise.…”

Section: Related Workmentioning

confidence: 99%

Curvelet Based Offline Analysis of SEM Images

et al. 2014

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Manual offline analysis, of a scanning electron microscopy (SEM) image, is a time consuming process and requires continuous human intervention and efforts. This paper presents an image processing based method for automated offline analyses of SEM images. To this end, our strategy relies on a two-stage process, viz. texture analysis and quantification. The method involves a preprocessing step, aimed at the noise removal, in order to avoid false edges. For texture analysis, the proposed method employs a state of the art Curvelet transform followed by segmentation through a combination of entropy filtering, thresholding and mathematical morphology (MM). The quantification is carried out by the application of a box-counting algorithm, for fractal dimension (FD) calculations, with the ultimate goal of measuring the parameters, like surface area and perimeter. The perimeter is estimated indirectly by counting the boundary boxes of the filled shapes. The proposed method, when applied to a representative set of SEM images, not only showed better results in image segmentation but also exhibited a good accuracy in the calculation of surface area and perimeter. The proposed method outperforms the well-known Watershed segmentation algorithm.

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“…In [43] , [44] , the enhancement of ceramic images is performed by using Curvelet and watershed algorithms. They have performed both the enhancement of images and reduction of noise.…”

Section: Related Workmentioning

confidence: 99%

Curvelet Based Offline Analysis of SEM Images

et al. 2014

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“…Some suggestions related to the 3D reconstruction of macromolecular assemblies at high resolution are given in Herman et al (2000). According to these authors, three multidisciplinary approaches have the potential for improving 3D electron microscopy in this field:…”

Section: Three-dimensional Reconstruction and Processingmentioning

confidence: 99%

“…Even visualising a 3D reconstructed object is not as trivial as might be expected and the surface rendering methods, applied after simple thresholding, are not sufficient. Herman et al (2000), for instance, consider the improvement of the rendering as one of the three areas that have the potential for improving 3D electron microscopy.…”

Section: Example 1: Image Processing and Computer Graphicsmentioning

confidence: 99%

Some trends in microscope image processing

Bonnet

2004

Micron

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“…With the continuous progress of human civilization, the vigorous development of scienti c and technological production, and the further development of digital image processing technology, the era of digital media has quietly arrived [1,2]. And with the research of computer science and artificial intelligence technology and thinking science, the research of digital image processing has entered a brand new stage [3,4].…”

Section: Introductionmentioning

confidence: 99%

Digital Media Design for Dynamic Gesture Interaction with Image Processing

Xiong

Yong-guang

2022

Journal of Electrical and Computer Engineering

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With the rapid development of human-computer interaction technology and research in the fields of ergonomics and user experience, people have increasingly demanded robot availability and ease of use. The rapid development of modern computer computing and digital media technology has made people’s contact and interaction with computers more and more frequent, and they have appeared more in people’s daily lives. Therefore, the convenience and freedom of computer communication have been proposed. Based on the above background, the research content of this paper is the design of dynamic gesture interactive digital media based on image processing. This paper proposes a design scheme of an interactive touch system based on image processing and a dynamic gesture recognition method and uses the time difference method to experimentally simulate the system proposed in this paper. Image processing is the technique of analyzing images with a computer to achieve the desired results. Image processing technology generally includes three parts: image compression, enhancement and restoration, and matching, description, and recognition. The experimental results show that, for the same motion trajectory, the accuracy depends on the complexity of the gesture degree. And the system’s recognition accuracy rate is always maintained above 98%, confirming that the system has the performance requirements of high recognition accuracy, fast response speed, and stable work. Finally, the system was tested for performance and function, which verified that the system meets the real-time requirements. For a particular gesture operator, the accuracy rate has a great relationship with the standard degree of its operation. If the similarity with the model is high, you can achieve a high recognition rate.

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Image processing approaches to biological three-dimensional electron microscopy

Cited by 15 publications

References 82 publications

Curvelet Based Offline Analysis of SEM Images

Curvelet Based Offline Analysis of SEM Images

Some trends in microscope image processing

Digital Media Design for Dynamic Gesture Interaction with Image Processing

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