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Tag Archives: MATLAB image-processing

The border/frame of the image is an outer boundary that is added to the image. It is not part of the main image. Region boundaries… Read More
In this article, we explore the RGB colour model conversion into grayscale. Grayscale image: Grayscale is a range of gray shades from white to black,… Read More
A Convolution Theorem states that convolution in the spatial domain is equal to the inverse Fourier transformation of the pointwise multiplication of both Fourier transformed… Read More
In the domain of digital image processing, sometimes we need to separate the main object from the image for clear observation. Image segmentation is the… Read More
Histogram normalization is a technique to distribute the frequencies of the histogram over a wider range than the current range. This technique is used in… Read More
Laplacian filter is a second-order derivate filter used in edge detection, in digital image processing. In 1st order derivative filters, we detect the edge along… Read More
The Laplacian filter is used to detect the edges in the images. But it has a disadvantage over the noisy images. It amplifies the noise… Read More
Image sharpening is an effect applied to digital images to give them a sharper appearance. Sharpening enhances the definition of edges in an image. The… Read More
Correlation is a mathematical technique to see how close two things are related. In image processing terms, it is used to compute the response of… Read More
The boundary of the image is different from the edges in the image. Edges represent the abrupt change in pixel intensity values while the boundary… Read More
In this article, we will discuss how to change the background of a colour image into grayscale using MATLAB. We are focused on the RGB… Read More
An edge in an image is a significant local change in image intensity, usually associated with a discontinuity in image intensity or the first derivative… Read More
The discontinuity in the image brightness is called an edge. Edge detection is the technique used to identify the regions in the image where the… Read More
Digital images are prone to various types of noise that make the quality of the images worst. Image noise is a random variation of brightness… Read More
A digital image is represented in the form of a 2D matrix of integers/floats, in which each element of the matrix represents pixel intensity. This… Read More

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