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Rectangle Object Segmentation Based on Shape Preserving and CV Variational Level Set

机译:基于形状保持和CV变分集的矩形目标分割

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In order to solve the problems that CV model can't segment object which is partially occluded or has similar gray value with background or has obvious textures, we add shape restraint equations of prior shape to level set function, which keeps the curve to be a specific class shape in the whole evolvement, thus we realize shape preserving in object segmentation. In addition, we build an energy function for rectangle object using our proposed model, deduce a group of corresponding Euler-Lagrange ordinary differential functions and evolve the level set function. By evolution, rectangle object can be segmented, and the final level set function is just the quantitative description of the rectangle object. At last, we validate with three groups of experiments that our model can not only segment the rectangle object from complex backgrounds, but also has lessened calculation and strong robustness.
机译:为了解决CV模型无法分割部分被遮挡或具有与背景类似的灰度值或具有明显纹理的对象的问题,我们在级别设置函数中添加了先前形状的形状约束方程,从而使曲线保持为在整个进化过程中特定的类形状,因此我们实现了对象分割中的形状保留。此外,我们使用提出的模型为矩形对象构建能量函数,推导了一组对应的Euler-Lagrange常微分函数并演化了水平集函数。通过演化,可以分割矩形对象,最终的水平集功能只是矩形对象的定量描述。最后,我们通过三组实验验证了我们的模型不仅可以从复杂的背景中分割出矩形对象,而且具有减少的计算量和强大的鲁棒性。

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