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image-processor-project's Introduction

Image Processing - Practical Exam

Please make sure to write your code on your own. Be aware of plagirism. It counts as you did not submit any work at all.

Guidelines

  1. Each team has its model to implement correctly.
  2. Do not edit any file except "exam.py".
  3. Implement in the corresponding function name.
  4. It is important to code from scratch, do not use ready-made functions to finish the task, unless its your last resort (option).
  5. Using ready-made functions will lower your score.
  6. Again, for the people who do not read carefully. Do NOT corrupt other files except "exam.py".

Models Tasks

Topic Model A Model B Model C
Histogram Histogram Histogram
Segmentation Segmentation Segmentation
Histogram equalization Histogram Equalization Contrast Streching
Linear Filters Box Filter Average Filter Box Filter
Non-linear Filters Min Filter Max Filter Mean Filter
Edge Detection Sobel Filter Prewitt Filter Sobel Filter
Special Canny Canny Canny
Sharpening Filters Laplacian Filter High Boost Filter Laplacian Filter
Time Transmission Time Transmission Time Transmission

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