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This work is based on morphological operations and a line segment match method.
For instance, the authors in [5] proposed to detect apples cultivated in apple orchards and then measure their size based on morphological operations.
Then, an image segmentation approach based on morphological operations and active contours is used to provide a set of candidate pixels.
Secondly, we propose an image segmentation approach based on morphological operations and active contours to provide the set of candidate pixels.
Subsequently, an image segmentation approach based on morphological operations and active contours is proposed to provide the set of candidate pixels.
Morphological contrast enhancement is based on morphological operations known as top-hat and bottom-hat transforms, which were proposed in [9].
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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.
The binary mask was further improved by a series of morphological operations.
For reduction of gray-level distortion artifacts, we use a method based on gray-scale morphological operations.
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.
We could compensate an associated decrease in segmentation quality (because watershed segmentation is more accurate on gray scale images) by effectuating morphological operations on the binarized images, thereby keeping segmentation accuracy high while automating the task.
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