
waring-up Image segmentation
Authored by Irma Dewi
Computers
University
Used 3+ times

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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
Sebutkan tiga langkah utama dalam proses Canny Edge Detection.
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Apa tujuan utama dari teknik Watershed dalam pengolahan citra, dan bagaimana cara kerjanya?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Bagaimana Otsu's Thresholding berbeda dari metode ambang batas lainnya dalam segmentasi citra, dan apa keuntungannya
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Apa yang dimaksud dengan "over-segmentation" dalam konteks Watershed, dan apa yang bisa dilakukan untuk menghindari hal ini
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5.
MATCH QUESTION
1 min • 1 pt
Match the following steps with their descriptions in the context of implementing the watershed algorithm for image segmentation.
Image Preprocessing
In this step, a gradient image is created that represents the 'topography' of the original image.
Watershed Transformation
This step involves reducing noise in the image and possibly converting it to grayscale.
Post-processing
Final step that involves removing small regions or modifying the segmented image for better results.
Computing Gradients
This is the step where flooding simulations are done based on the gradient image.
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