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Now, let's talk about the techniques. *Image enhancement* is used to improve the visual quality of an image, making it easier to analyze. Techniques like *filtering* and *contrast adjustment* are employed to remove noise or enhance details. *Image segmentation* is about dividing an image into meaningful regions or objects. *Edge detection* is a classic technique, helping to find the boundaries of objects in an image. **Feature extraction** is used to identify key characteristics of images, like shape, texture, and color. Finally, there's **image classification**, where the computer assigns an image to a specific category. Each of these techniques plays an important role in the image analysis workflow, and understanding them is key to appreciating the power of this technology.
