Skip to main content

An interactive Python-based program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms.

Project description

1. Installation

The code for Histropy can be downloaded using the command pip install Histropy in the command line or terminal. Note that histropy requires a version of Python >= 3.12 and has dependencies on matplotlib, easygui, tabulate, and numpy. Once Histropy has been installed, the program can be launched using the command python -m Histropy.Histropy.

This command will open up a file dialogue. When prompted, select an image to open in Histropy (in either JPG, PNG, GIF, BMP, or TIFF formats).

2. Basics

The scale can be switched between linear and log base 10 using the buttons in the Scale selection space.

The y-limit of the histogram can be set using the textbox in the Scale selection space.

The upper and lower bounds for the calculation range can be set either by clicking on the histogram itself (the dark blue line is the lower bound and the cyan line is the upper bound) or by entering values directly into the textboxes in the Intensity Range selection space.

This range can be used for segmentation and performing calculations over specific ranges (peaks) of the image. The histogram coordinates that the mouse is hovering over can be seen in the bottom right corner of the window (this can be used when trying to click on the histogram to set the range).

The calculations will automatically update as the Intensity Range is updated

Histograms can be overlaid by clicking the “Add Image” button in the Histogram Overlays selection space. This will bring up a file dialogue where the user can select another image to overlay (in either JPG, PNG, GIF, BMP, or TIFF formats).

Histogram overlays can be removed using the “Clear Overlays” button.

3. Histropy Buttons

Screenshot 2024-06-13 at 2 00 07 PM

Zoom

When the magnifying glass button is clicked, you can drag a rectangle over the histogram to zoom in on a portion of the histogram. Note that to use the Intensity Range bound-setting function, you must click off the zoom button first.

Axes Pan

When the axes button is clicked, you can slide the axes of the histogram to pan across it (right, left, up and down). Once again, to use the Intensity Range bound-setting function you must click off the zoom button first.

Undo, Redo, and Home

The Arrow buttons will undo or redo an action taken by the zoom and axes pan buttons. The Home button will fully reset the histogram to its original state.

Save

The floppy disk button will save a PNG image of the full Histropy workspace as it is when the corresponding button is clicked.

Note: The button with the sliders is obsolete

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

histropy-0.1.6.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

histropy-0.1.6-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file histropy-0.1.6.tar.gz.

File metadata

  • Download URL: histropy-0.1.6.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for histropy-0.1.6.tar.gz
Algorithm Hash digest
SHA256 95b0a7ae7c8b1ff7862e53db832721c1f58d578f6fc3bcf2dbe529924c62ec2d
MD5 14ab26faf7303c5952792e188254920b
BLAKE2b-256 b5d60b60bab0620da65f472a535f51b77324759b197392dfa33333d52d4b3d2b

See more details on using hashes here.

File details

Details for the file histropy-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: histropy-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for histropy-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 9944071d8b43366835b28a2651cfc9cabf8f7e079a662ff1de283545e78e26e6
MD5 0e8a280c16d41aef9595bb09912bb306
BLAKE2b-256 ff669cfccaedf6216956ae874084f52c9bb529726c572cfadb7dbd1c93876be2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page