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Oppiskele Low-pass and High-pass Filters | Image Processing with OpenCV
Computer Vision Course Outline
course content

Kurssisisältö

Computer Vision Course Outline

Computer Vision Course Outline

1. Introduction to Computer Vision
2. Image Processing with OpenCV
3. Convolutional Neural Networks
4. Object Detection
5. Advanced Topics Overview

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Low-pass and High-pass Filters

One of the key benefits of the Fourier Transformation is it enables us to do high-pass and low-pass filtering.

After we apply the Fourier Transformation:

we need to create a filtering mask

Low-Pass Filtering (Blurring)

A low-pass filter removes high-frequency components, which results in a blurred image. Low-pass mask:

High-Pass Filtering (Edge Detection)

A high-pass filter removes low-frequency components and enhances edges. High-pass mask:

Applying the filter

After creating the mask, we must apply a filter and transform our photo back to the spatial domain:

Tehtävä

Swipe to start coding

In this task, you must apply both types of filters to a sheep.

  • Low-pass filter: remove everything out of the 20x20 square in the center;
  • High-pass filter: remove everything in the 20x20 square in the center.

Ratkaisu

Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 2. Luku 3
toggle bottom row

book
Low-pass and High-pass Filters

One of the key benefits of the Fourier Transformation is it enables us to do high-pass and low-pass filtering.

After we apply the Fourier Transformation:

we need to create a filtering mask

Low-Pass Filtering (Blurring)

A low-pass filter removes high-frequency components, which results in a blurred image. Low-pass mask:

High-Pass Filtering (Edge Detection)

A high-pass filter removes low-frequency components and enhances edges. High-pass mask:

Applying the filter

After creating the mask, we must apply a filter and transform our photo back to the spatial domain:

Tehtävä

Swipe to start coding

In this task, you must apply both types of filters to a sheep.

  • Low-pass filter: remove everything out of the 20x20 square in the center;
  • High-pass filter: remove everything in the 20x20 square in the center.

Ratkaisu

Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 2. Luku 3
Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Pahoittelemme, että jotain meni pieleen. Mitä tapahtui?
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