Semantic Segmentation for objects with random shape
3 次查看(过去 30 天)
显示 更早的评论
Hi All the examples and tutorial about Semantic Segmentation are about shape specific objects (e.g. cars, animals, scenes, plants, etc.). I am working on a problem in which the classes do not have a specific shape. They are visually distinguishable based on their textures. Now, my questions is whether semantic segmentation concept and methods (like CNN) can be used in such a context. Thanks, Roohollah
0 个评论
采纳的回答
Image Analyst
2018-7-2
I don't believe so. If there is no shape that your object takes on, and can be any random shape, then you'll have to use other methods to segment it, like texture segmentation. Then just don't worry at all about assigning a name to the shape.
0 个评论
更多回答(1 个)
jim peyton
2019-3-8
编辑:jim peyton
2019-3-8
The problem you're describing is texture segmentation. Here's a good tutorial on using Gabor filters to extract texture features (spatial frequency and orientation).
There are other types of texture filters you could use to extract features: Energy/Entropy, gradient magnitudes and directions, even creating your own shape-specific filters.
0 个评论
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!