دانلود Udemy Image Processing in Python

پیش نیازها:

• دانش پایه پایتون

این دوره برای چه کسی است؟

• توسعه دهندگان مبتدی پایتون که در مورد علم داده کنجکاو هستند

در ادامه با برخی از سرفصل های درسی این مجموعه آموزش آشنا می شویم :

Introduction

Make images come alive with scikit-image

RGB to grayscale

NumPy for images

Flipping out

Histograms

Getting started with thresholding

Apply global thresholding

When the background isn't that obvious

Trying other methods

Apply thresholding

Filters, Contrast, Transformation and Morphology

Jump into filtering

Edge detection

Blurring to reduce noise

Contrast enhancement

Aerial image

Let's add some impact and contrast

Transformations

Enlarging images

Proportionally resizing

Morphology

Handwritten letters

Improving thresholded image

Image restoration, Noise, Segmentation and Contours

Image restoration

Removing logos

Noise

Let's make some noise!

Reducing noise

Reducing noise while preserving edges

Superpixels & segmentation

Superpixel segmentation

Finding contours

Contouring shapes

Count the dots in a dice's image

Advanced Operations, Detecting Faces and Features

Finding the edges with Canny

Edges

Right around the corner

Perspective

Face detection

Is someone there?

Multiple faces

Segmentation and face detection

Real-world applications

Privacy protection

Help Sally restore her graduation photo