/Tracking_Microglia

Primary LanguagePythonMIT LicenseMIT

TR_KF Interface

TR_KF by Multi Tracking objects with Kalman Filter is a GUI Interface programmed in PYTHON using PySimpleGUI for object detection and tracking process in a sequence of images for Microglia experiments. This is a test version 0.2.2.

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The features are extracted from images using a blob detector: image info

In directory /src, you will find an user guide document.

Run of TR_KF Interface

This program can be used for object detection and evaluated the performance of filter and morphological operations which could be changed. Repeatibility measure is used to show results. For multi-tracking, Kalman Filter is used where features detected are identified in a radius value.

Results of TR_KF Interface

Results of whole set of features traked are presented in 2 graphics which are related with mean distance and mean velocity computed during the sequence of images. Error is the measure of Kalman filter for detection process.

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