Negative Transformation: Image inversion or Image negation helps find the details from the darker regions of the image. The negative of an image is achieved by replacing the intensity ‘i’ in the original image with ‘i-1’, i.e. the darkest pixels…
The goal of this project is to find different complications in images. The pictures are related to an airport and the desert area around it, to find the roads we use the thresholding method. To be able to find an…
1)Apply low-pass filters and remove noise First, we add “Gaussian” and “Salt&Pepper” noises to the given images and then remove them. The images after adding noise are like this: Now, after adding noise, we add average, median, and Gaussian filters…
In this project, we first tried to get acquainted with the behavior of different images and standards in the frequency domain. We got to know the characteristics of the Fourier domain, and finally, we applied the filters in the frequency…
Classification is a process during which different classes of an image are separated from each other. Usually, the classification result is displayed using different colors. There are two main types of classification. The difference between these two methods is in…
In this project, we aimed to apply different filters and masks to a spatial subset of a satellite image. We use Landsat 8 meta-data file to obtain the image. Then some remote sensing indices have been created using the “band math” option in…
Recently, I did a project about land use classification using deep learning. In this project, I used AlexNet-based architecture. I am still working on obtaining better accuracy. The details about this project are in the link below.