#Free gaussian software download series#
Gaussian 09 is the latest version of the Gaussian series of electronic structure programs, used by chemists, chemical engineers, biochemists, physicists and other scientists worldwide. Let’s take an example to understand this. Gaussian 09W is the Gaussian 09 version for Windows computers. Thus, the Difference of Gaussian acts like a bandpass filter. All the remaining frequency components are assumed to be associated with the edges in the images. The logic is by blurring we remove some high-frequency components that represent noise, and by subtracting we remove some low-frequency components that correspond to the homogeneous areas in the image. Thus if we take 2 Gaussian kernels with different standard deviations, apply separately on the same image and subtract their corresponding responses, we will get an output that highlights certain high-frequency components based on the standard deviations used.
Roughly speaking, larger the standard deviation more will be the blurring or in other words more high frequency components will be suppressed. In Gaussian Blurring, we discussed how the standard deviation of the Gaussian affects the degree of smoothing. Isn’t that interesting? So, let’s get started. In this blog, we will see how we can use this Gaussian Blurring to highlight certain high-frequency parts in an image. This is a low pass filtering technique that blocks high frequencies (like edges, noise, etc.).
In the previous blog, we discussed Gaussian Blurring that uses Gaussian kernels for image smoothing.