CAJ | 학술논문

　　考虑到图像分割的复杂性实质上与图像中可分割的区域个数相关，而图像分割的必要性是与图像中可分割的区域大小有关，针对图像分割实际应用中部分图像的内容较少、无明显语义，不必进行图像分割的情况，提出一种基于图像内容语义、图像分割复杂性的图像分割必要性判别测度。进一步基于其测度定义，进行了大量相关实验，实验结果表明，基于复杂性指数的图像分割测度很好地完成了预期的功能，能够成为图像分割必要性有效合理的衡量依据。
　　고필도도상분할적복잡성실질상여도상중가분할적구역개수상관，이도상분할적필요성시여도상중가분할적구역대소유관，침대도상분할실제응용중부분도상적내용교소、무명현어의，불필진행도상분할적정황，제출일충기우도상내용어의、도상분할복잡성적도상분할필요성판별측도。진일보기우기측도정의，진행료대량상관실험，실험결과표명，기우복잡성지수적도상분할측도흔호지완성료예기적공능，능구성위도상분할필요성유효합리적형량의거。
Considering the complexity of image segmentation is essentially associated with the number of divisible area of image, and the necessity for image segmentation is related to the size of the dividable region in the image, in view of some of the image contents are less and lack of clear semantics, even unnecessary for segmentation in the practical application of image segmentation, an image segmentation necessity discriminatory measures based on image content semantics and the complexity of image seg-mentation is proposed. A lot of experiments based on the measure definition are carried out. Experimental results show that the proposed image segmentation based on complexity index measure well implements the expected function. The image segmenta-tion based on complexity index measure can be the effective and reasonable measure for the image segmentation necessity.