What is Edge Detection?Methods of Edge DetectionDrawbacks of applying edge computationTechniques to overcome the drawbacks of edge computation What is Edge Detection? Edge detection is a technique of image processing used to identify points in a digital image with discontinuities, simply to say, sharp changes in the image brightness. These points where the image brightness […]
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Contributed by: Sreekanth Introduction to Histogram Equalization Image pre-processing is the term for operations on the images at the lowest level of abstraction. These operations do not increase image information content, but they decrease it if entropy is an information measure. The aim of pre-processing is an improvement of the image data that suppresses undesired distortions
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Contributed to: Sreekanth LinkedIn profile: https://www.linkedin.com/in/sreekanth-tadakaluru-3301649b/ Introduction to Image Pre-Processing As a Machine Learning Engineer, data pre-processing or data cleansing is a crucial step and most of the ML engineers spend a good amount of time in data pre-processing before building the model. Some examples for data pre-processing includes outlier detection, missing value treatments and
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