Image processing and deep learning samples

Transform (scale) image using transform function and classify image. Show results in bar plot.

Read and display all buildin Matlab images with its file names

Draws stars based on their position and apparent magnitude, also their names and outline of the constellation

Convert color to third dimension

Use transfer learned Alexnet to classify shapes

Select ROI from image and let it classify by CNN trained on MNIST dataset

An example of transfer learning with Alexnet neural network on a database of generated shapes

Specify layers and training options and use matlab build-in digit data set for CNN training.

Generating imageset with different shapes like circle or rectangle for CNN learning

Load cnn in onnx format. Resize and classify an image

Displaying 1000 classes that are used to classification, e. g. by alexnet.

How to isolate parts of similar color in an image

From black&white image with different objects, select only round ones (circles)

Binarize image, fill holes, clear border and separate unwanted small objects with help of k-means algorithm

Convolutional neural network alexnet is used to classify image

Change threshold for image binarization and save animation as a gif

Conversion of handwritten numbers on a paper to binary image

Display RGB channels from color image as three different RGB images

Display RGB channels from color image as three different gray images

From RGB to randomly two-color image

Let user to pick up a region and replace it with equalized one

Lower contrast of an image using simple math

Enhances the contrast of the image by (adaptive) histogram equalization

Load an image and convert it to index image with lower number of colors

Create negative of an image

Using edge detection to decide which image is sharper

How to blur background only

Testing Very-Deep Super-Resolution (VDSR) neural network.