Picture Source:istock
Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening. They are used in many steps in computer vision like segmentation and are a key building block in Artificial Intelligence algorithms. In this repositroy, you can see examples about usage of spatial operations in image processing. Rendering may take a long time or give an error. In this case, please refresh the page and wait for it to open again. The information acquired under this project was entirely acquired by IBM.
- Making linear filtering on image.
- Filtering noise on image.
- Apply Gaussian blur on image.
- Sharpening the image.
- Use median filters.
- Geometric operations
- OpenCV
- Mathematical Tools
- Gaussian blur
- Linear filtering
- Median
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[1] Joseph Santarcangelo has a PhD in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
[2] Images were taken from: https://homepages.cae.wisc.edu/~ece533/images/
[3] Pillow Docs
[4] Open CV
[5] Gonzalez, Rafael C., and Richard E. Woods. "Digital image processing." (2017).
[6] Jian, Wushuai, Xueyan Sun, and Shuqian Luo. "Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform." Biomedical engineering online 11.1 (2012): 1-12.