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This lab introduces image segmentation techniques using global thresholding and Otsu's method; explore parameter tuning for Felzenszwalb and SLIC algorithms, adjusting scale, sigma, min_size, n_segments, and compactness parameters to optimize image segmentation results for different applications.

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felzenszwalb global-threshold image-processing otsu-thresholding python slic-superpixels

lab-10's Introduction

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  1. Segment an image using global thresholding and then Otsu’s method.

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  1. Experiment with varying parameters like scale, sigma, min_size for Felzenszwalb; and n_segments, compactness for SLIC.

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