结合JSEG与分水岭方法的彩色图像分割

Color image segmentation based on JSEG and watershed methods

针对JSEG算法在分割过程中需要在多个尺度下反复进行局部J值计算和区域生长,分割过程繁琐、算法复杂度高的不足,提出一种结合分水岭与JSEG的图像分割新算法。新算法在计算得到图像J图后,通过引入分水岭算法直接对J图进行空域分割,在基本保证良好分割效果的前提下,有效降低了原JSEG算法的复杂度、提高了分割效率。

The JSEG is a classic algorithm for color image segmentation.However,it need iterate computing the local J-values and performing region growing under predefined multiple scales,which makes the segmentation process complex and computationally expensive.Hence,to overcome this drawback,a novel method based on joint JSEG and watershed technologies is proposed.The new method implements spatial segmentation for only once with the watershed algorithm after the J-image is acquired,which can effectively reduce the computational load while keeping good perceptual results.Thus,the segmentation efficiency is improved.