Blood Cell Count using Digital Image Processing
Blood Cell Identification using Image Processing, This project will detect blood cell and make a boundary box in that particular cells with different output color so user can easily identify the cell. These contains RBC, WBC, Platelets, etc. User have to gave blood sample image to machine learning model and model will first detect the image and classify the cells. This machine learning model is trained on large dataset of images that contains blood cells so model can easily trained on large images and classify it.
Blood Cell Counting using OpenCV Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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