Image Segmentation by Total Variation Methods
نویسندگان
چکیده
Total-variation denoising (TVD) is a robust algorithm for reconstructing noisy images. Because it imposes an L1 penalty on differences between adjacent pixels, it tends to result in images with piecewise constant regions. The goal of image segmentation is to assign pixels to clusters such that pixels within each cluster are similar. Our goal is to see if TVD can be used to perform segmentation, by taking the constant regions of the denoised image as the segments. We hope that this project can yield insight into image segmentation, which is a central problem in computer vision and is an intermediate step in many higher-order tasks, such as object recognition.
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