Detecting Subsurface Circular Objects from Low Contrast Noisy Images Applications in Microscope Image Enhancement- MATLAB PROJECTS CODE
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Detecting Subsurface Circular Objects from Low Contrast Noisy Images Applications in Microscope Image Enhancement,
Transmission Electron Microscopy,
Circular Hough Transform,
Au Nanoparticles,
Median Filter,
Laplacian Sharpening Filter,
Canny Edge Detection,
Matlab Source Code,
Matlab Assignment,
Matlab Home Work,
Matlab Help
Abstract
Particle detection in very noisy and low contrast images is an active field of research in image processing. In this article, a method is proposed for the efficient detection and sizing of subsurface spherical particles, which is used for the processing of softly fused Au nanoparticles.
Transmission Electron Microscopy is used for imaging the nanoparticles, and the proposed algorithm has been tested with the two-dimensional projected TEM images obtained. Results are compared with the data obtained by transmission optical spectroscopy, as well as with conventional circular object detection algorithms.
Detecting Subsurface Circular Objects from Low Contrast Noisy Images Applications in Microscope Image Enhancement,Transmission Electron Microscopy,
Circular Hough Transform,
Au Nanoparticles,
Median Filter,
Laplacian Sharpening Filter,
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