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- W4386804912 abstract "As technology improves every day, digital photos can end up becoming a vital source of data collecting. Digital images are everywhere in our daily lives. These images, however, can be connected to anything. Utilising a variety of libraries or tools, we can transform digital images in programming. We will learn about Pillow, one of the most well-known Python tools, in this article. Amongst the many helpful libraries that Python provides are OpenCV2, Python Image Library (PIL), and Scikit pictures. This article just covers the Python Pillow module (PIL). Basic image processing tools including point operations, filtering with an integrated set of convolution kernels, and colour space conversions are all included in the package. The package also supports arbitrary affine transformations, scaling, and picture rotation. You may gather certain statistics from an image using the histogram technique. This paper throws a lights on automated contrast augmentation in addition to general statistical analysis, and the Python Pillow module is constructed on top of Python Image Library (PIL) to process the image analysis modules." @default.
- W4386804912 created "2023-09-17" @default.
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- W4386804912 date "2023-01-01" @default.
- W4386804912 modified "2023-09-27" @default.
- W4386804912 title "A Real-Time Image Recognition Using TensorFlow Framework" @default.
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- W4386804912 doi "https://doi.org/10.1007/978-981-99-3716-5_33" @default.
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