What is Image Processing?
- Naveen
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Have you ever wanted to change the color of a photo or remove something from your picture? Image processing is what you need!
Image processing is the subset of Computer Vision. The transformations we apply on images are sharpening, smoothing, stretching etc.
In order to get an enhanced, sharpened, and brighter image, or if we want to extract useful information from it we apply images processing techniques to it. And after getting useful information from the image you can feed it to your algorithm to predict the later things.
Libraries involved in Image processing:
1 – OpenCV
2 – Pillow (PIL)
3 – Matplotlib
4 – Scikit-image
5 – Scipy
6 – Mahotas
7 – SimpleITK
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Author
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Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.
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