In this paper, the flood fill mean shift (FFMS) is introduced. This algorithm is developed for robust segmentation by improving the mean shift (MS) through the flood fill (FF) technique, instead of relying on spatial bandwidth. Due to this exchange, the FFMS involves only one parameter, the...
Noise and blur not only degrade the image quality in terms of overall visualization but also have a negative influence on specimen analysis, including detection and segmentation. To improve the quality of images acquired by fluorescence microscopes, restoration (deconvolution and/or denoising) is then ...
After that, the system performs wound segmentation by applying the accelerated mean shift algorithm. Specifically, the outline of the foot is determined based on the wound boundary is found using a simple connected region detection method. Within the wound boundary, the healing status is next ...