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Here, an approach integrating threshold classification and morphological operations is applied.
Finally, using the edge information, an improved noise removal and shadow suppression procedure with two morphological operations is adopted to enhance the final segmented foreground.
Finally, using the edge information, an improved noise removal, and shadow suppression procedure with two morphological operations is adopted to enhance the final foreground segmentation results.
Also to eliminate small and fake points of image and filling holes and empty region of image, series of morphological operations is applied on the image.
After obtaining an initial segmented image, a series of morphological operations is applied to detect the filopodia.
For reducing the gray-level distortion artifacts in the background of subtraction image resulted after registration, a method based on gray-scale morphological operations is used to generate the enhanced mask and live images.
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The fundamental morphological operations are erosion and dilation.
For the proposed system, morphological operations are implemented for the extraction of the blood vessels.
Binary closing morphological operations are applied to smoothen the reconstructed images.
The segmented images after morphological operations are shown in Figure 2(C) and Figure 3(C).
Innovative gradient-constrained morphological operations are created, which are executed only for the potential object points.
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