Investigation of Segmentation Performances of Superpixel Algorithms for Noisy Images

Superpixels, used espically in image and video segmentation applications, are the visiual structures composed of pixels having same color, intensity and texture behavior. In this work, segmentation performances of superpixel algorithms for noisy images are investigated. Moreoever, the effect of denoising to segmentation accuracy is also investigated. For this purpose, most common three superpixel algorithms are implemented to the images selected from image segmentation database. As a result of efforts made, noise sensitivity and segmentation performance of superpixel algorithms are investigated. Also, the effect of denoising process as a preprocessing step to the segmentation performance is also examined.