基于最陡下降方法，推导出了相应的自适应算法。
The corresponding adaptive algorithm was derived based on the steepest descent method.
新算法与传统的最陡下降算法相比，具有运算量小、容易实现等优点。
It is of lower complexity in computation and far more easy to be implemented as compared with the original steepest descent algorithm.
运用梯度最陡下降法，推导出能量函数曲线演化方程，并应用于图像分割。
Using gradient-descent methods the energy function is minimized and a curve evolution equation is obtained to segment the image.
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