Hi:here is a method to connect line segment:distance transform --> use the max distance you want to connect as threshold --> do watershedBut I think Canny is not a good choice to extract region(not continue and too many noise),.your image is hard, some work you can try:1. use a snake curve to fit step by step2. use ml function (which need many images to train)3. if you need not full-automatic, you can use Opencv's GrabCut.Some images attached processed by ImagePy, you can get ImagePy here:https://github.com/Image-Py/imagepyBest ----- 原始邮件 ----- 发件人：Randy Heiland <randy.heiland@gmail.com> 收件人：scikit-image@python.org 主题：[scikit-image] shrink-wrapping filopodia 日期：2018年01月05日 01点22分 Hello, and thanks for the great software! I thought I'd ask this community for suggestions on extracting the outline/shape of some images involving biological filopodia. I've attached a sample image where I manually captured one potential outline. And I've put my initial scripts, data, results here:https://github.com/rheiland/image_proc I tried to "close" (edge2.py) the noisy edges, thinking that would be a logical first step, but it didn't really do what I'd hoped. thanks, Randy _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image