## What is Fspecial?

Description. example. h = fspecial( type ) creates a two-dimensional filter h of the specified type . Some of the filter types have optional additional parameters, shown in the following syntaxes. fspecial returns h as a correlation kernel, which is the appropriate form to use with imfilter .

**What is Laplacian of Gaussian filter?**

Laplacian filters are derivative filters used to find areas of rapid change (edges) in images. Since derivative filters are very sensitive to noise, it is common to smooth the image (e.g., using a Gaussian filter) before applying the Laplacian. This two-step process is call the Laplacian of Gaussian (LoG) operation.

**What is Gaussian filter in image processing?**

A Gaussian filter is a linear filter. It’s usually used to blur the image or to reduce noise. If you use two of them and subtract, you can use them for “unsharp masking” (edge detection). The Gaussian filter alone will blur edges and reduce contrast.

### What is Imfilter Matlab?

The imfilter function computes the value of each output pixel using double-precision, floating-point arithmetic. If the result exceeds the range of the data type, then imfilter truncates the result to the allowed range of the data type. If it is an integer data type, then imfilter rounds fractional values.

**What is filter2 Matlab?**

Algorithms. The filter2 function filters data by taking the 2-D convolution of the input X and the coefficient matrix H rotated 180 degrees. Specifically, filter2(H,X,shape) is equivalent to conv2(X,rot90(H,2),shape) .

**What is Laplacian of Gaussian used for?**

The Laplacian of Gaussian is useful for detecting edges that appear at various image scales or degrees of image focus. The exact values of sizes of the two kernels that are used to approximate the Laplacian of Gaussian will determine the scale of the difference image, which may appear blurry as a result.

#### What is Laplacian of Gaussian edge detection?

Laplacian of Gaussian is a popular edge detection algorithm. Edge detection is an important part of image processing and computer vision applications. It is used to detect objects, locate boundaries, and extract features.

**What is the advantage of Gaussian filter?**

A Gaussian filter has the advantage that its Fourier transform is also a Gaussian distribution centered around the zero frequency (with positive and negative frequencies at both sides). One can then control the effectiveness of the low-pass nature of the filter by adjusting its width.

**How does Gaussian filter works?**

A Gaussian Filter is a low pass filter used for reducing noise (high frequency components) and blurring regions of an image. The filter is implemented as an Odd sized Symmetric Kernel (DIP version of a Matrix) which is passed through each pixel of the Region of Interest to get the desired effect.

## What is are advantage of Laplacian of Gaussian filter?

**Is Laplacian of Gaussian isotropic?**

The Laplacian is a 2-D isotropic measure of the 2nd spatial derivative of an image. The Laplacian of an image highlights regions of rapid intensity change and is therefore often used for edge detection (see zero crossing edge detectors).

**How to implement Gaussian filter in fspecial?**

fspecial () creates a set of user-specified two-dimensional filter functions, and provides a set of default values. The following function will produce the equivalent 2D Gaussian function. It is also the implementation in fspecial when run with the option ‘gaussian’. You can call it by h = gaussian2D ( [5 1], 0.75);, for your example.

### How to find the Laplacian of Gaussian filter of size hsize?

h = fspecial(‘log’,hsize,sigma) returns a rotationally symmetric Laplacian of Gaussian filter of size hsize with standard deviation sigma (positive). hsize can be a vector specifying the number of rows and columns in h, or it can be a scalar, in which case h is a square matrix.

**What is hsize in Gaussian lowpass filter?**

h = fspecial ( ‘ gaussian’,hsize,sigma) returns a rotationally symmetric Gaussian lowpass filter of size hsize with standard deviation sigma (positive). hsize can be a vector specifying the number of rows and columns in h, or it can be a scalar, in which case h is a square matrix.

**What does H = fspecial h mean?**

h = fspecial (‘disk’,radius) returns a circular averaging filter (pillbox) within the square matrix of size 2*radius+1. h = fspecial (‘gaussian’,hsize,sigma) returns a rotationally symmetric Gaussian lowpass filter of size hsize with standard deviation sigma .