Otsu-Thresholding | Image Processing : Segmentation Using Otsu | Time Series Database library

by mohabmes Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Otsu-Thresholding Summary

Otsu-Thresholding is a Python library typically used in Database, Time Series Database, Deep Learning applications. Otsu-Thresholding has no bugs, it has no vulnerabilities and it has low support. However Otsu-Thresholding build file is not available. You can download it from GitHub.

Python implementation of a basic Otsu thresholding algorithms. Otsu's thresholding method involves iterating through all the possible threshold values and calculating a measure of spread for the pixel levels each side of the threshold (the pixels that either fall in foreground or background). The aim is to find the threshold value where the sum of foreground and background spreads is at its minimum.

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Support

Otsu-Thresholding has a low active ecosystem.

It has 18 star(s) with 14 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 426 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Otsu-Thresholding is current.

Quality

Otsu-Thresholding has no bugs reported.

Security

Otsu-Thresholding has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Otsu-Thresholding does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Otsu-Thresholding releases are not available. You will need to build from source code and install.

Otsu-Thresholding has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Otsu-Thresholding and discovered the below as its top functions. This is intended to give you an instant insight into Otsu-Thresholding implemented functionality, and help decide if they suit your requirements.

Compute the threshold for each pixel
Visualize an image .
Generate a new image from a given threshold .
Calculate the variance of two samples
Calculate the mean value of the waveform .
Count the number of pixels in the image
Calculate the wieght .
Gets the highest threshold .

Get all kandi verified functions for this library.

Otsu-Thresholding Key Features

No Key Features are available at this moment for Otsu-Thresholding.

Otsu-Thresholding Examples and Code Snippets

No Code Snippets are available at this moment for Otsu-Thresholding.

Community Discussions

Trending Discussions on Otsu-Thresholding

Python: How can I fix messy areas in my image with openCV?

How can I apply the contours of a downsized image to the original image?

QUESTION

Python: How can I fix messy areas in my image with openCV?

Asked 2021-Jan-06 at 15:23

I have a code for finding the contours in image with OpenCV. But my code doesn't work when it's based on a messy image.

My image:

My image is a scanned paper, there is a lot of noise and messy areas. So I applied Gaussian Blur, OTSU-Thresholding and Morph close for fix.

My code:

...

ANSWER

Answered 2021-Jan-06 at 06:14

M Z have a good point.

You just need to erode and then dilate it. It actually could be with the same kernel and iterations.

The main purpose for this is:

With the erode, guaraty that little white shape are killed.
With the dilation, recover the white shape eroded in the region of interest (the big shape).

So, you should erode until all the little shapes are killed, then try to return the original size of the big shape with dilation.

Source https://stackoverflow.com/questions/65590891

QUESTION

How can I apply the contours of a downsized image to the original image?

Asked 2021-Jan-04 at 20:39

I have a perfect code for finding the contours with OpenCV. But, my code processes a downsized image for improving the computational speed. How can I apply the contours of a downsized image to the original image?

This is my Python code:

...

ANSWER

Answered 2021-Jan-04 at 20:38

If you can live with an (in)accuracy of 1 or 2 pixels, a quite simple solution would be to just multiply the x, y, w, h values of your bounding rectangle with the corresponding scaling factors:

Source https://stackoverflow.com/questions/65565368

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Otsu-Thresholding

You can download it from GitHub.
You can use Otsu-Thresholding like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.