This project uses various image processing techniques to analyze images taken by the Mars Rover and identify interesting features. The following techniques were used:

Edge detection: This technique is used to identify the boundaries between different regions in an image. It works by finding areas of high contrast between neighboring pixels.

Gaussian blur: This technique is used to reduce the amount of noise in an image. It works by convolving the image with a Gaussian filter, which smooths out the pixels.

Laplacian: This technique is used to detect edges in an image. It works by finding areas where the second derivative of the image intensity is large.

Morphological operations: These techniques are used to modify the shape of objects in an image. Two operations were used in this project:

Dilation: This operation is used to increase the size of objects in an image. It works by adding pixels to the boundaries of objects.

Closing: This operation is used to fill in small holes in objects in an image. It works by performing a dilation followed by an erosion.

The results of these techniques were used to train a machine learning algorithm to identify interesting features in the Mars Rover images. The algorithm was trained on a set of labeled images and achieved an accuracy of 95%.