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Python-Mahotas

90 posts

Last Updated: 12 December 2021

In this article we will see how we can apply image overlay in mahotas. Image overlay in mahotas create an image which is grayscale, but with possible boolean overlays.In t...read more

Python

Python-Mahotas

Mahotas - Rank Filter

Last Updated: 19 February 2022

In this article, we will see how we can apply a rank filter on images in mahotas. The rank filter especially filters isolated pixels out, whose intensity differs greatly f...read more

Python

Python-Mahotas

Mahotas - Regional Maxima of Image

Last Updated: 19 February 2022

In this article, we will see how we can get regional maxima of images in mahotas. Regional maxima is a stricter criterion than the local maxima as it takes the whole objec...read more

Python

Python-Mahotas

Mahotas - Regional Minima of Image

Last Updated: 19 February 2022

In this article, we will see how we can get regional minima of images in mahotas. Regional minima is a stricter criterion than the local minima as it takes the whole objec...read more

Python

Python-Mahotas

Mahotas - Image Stretching

Last Updated: 21 July 2022

In this article we will see how we can do image stretching in mahotas. Contrast stretching (often called normalization) is a simple image enhancement technique that attemp...read more

Python

Python-Mahotas

Mahotas - Image Stretch RGB

Last Updated: 08 February 2022

In this article we will see how we can do stretching for RGB image in mahotas. Contrast stretching (often called normalization) is a simple image enhancement technique tha...read more

Python

Python-Mahotas

Mahotas - Template Matching

Last Updated: 07 May 2021

In this article we will see how we can do template matching in mahotas. Template is basically a part or structure of image. In this tutorial we will use “lena” image, belo...read more

Python

Python-Mahotas

Mahotas - Skeletonization by thinning of image

Last Updated: 19 February 2022

In this article, we will see how we can do the skeletonization of images by thinning in mahotas. Skeletonization is a process for reducing foreground regions in a binary i...read more

Python

Python-Mahotas

Mahotas - Eccentricity of Image

Last Updated: 02 September 2021

In this article we will see how we can get the eccentricity of the image in mahotas. Eccentricity measures the shortest length of the paths from a given vertex v to reach ...read more

Python

Python-Mahotas

Mahotas - Image Ellipse Axes

Last Updated: 13 January 2022

In this article we will see how we can get the image ellipse axes in mahotas. Ellipse exes are parameters of the image ellipse, parameters of the constant intensity ellips...read more

Python

Python-Mahotas

Mahotas - Parameter-Free Threshold Adjacency Statistics

Last Updated: 11 September 2021

In this article we will see how we can get the image's parameter-free threshold adjacency statistics in mahotas. TAS were presented by Hamilton et al. in “Fast automated c...read more

Python

Python-Mahotas

Mahotas - Roundness of Image

Last Updated: 31 May 2021

In this article we will see how we can get the image roundness feature in mahotas. Roundness is dominated by the shape's gross features rather than the definition of its e...read more

Python

Python-Mahotas

Mahotas - Threshold Adjacency Statistics

Last Updated: 19 February 2022

In this article, we will see how we can get the image's threshold adjacency statistics feature in mahotas. TAS was presented by Hamilton et al. in “Fast automated cell phe...read more

Python

Python-Mahotas

Mahotas - Zernike Features

Last Updated: 31 May 2021

In this article we will see how we can get the zernike feature of the given image in mahotas. Zernike polynomials are an orthogonal basis set (a set of functions for which...read more

Python

Python-Mahotas

Mahotas - Zernike Moments

Last Updated: 19 February 2022

In this article, we will see how we can get the Zernike moments of the given image in mahotas. Zernike polynomials are an orthogonal basis set (a set of functions for whic...read more

Python

Python-Mahotas

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