CAJ | 학술논문

黄瓜病害图像分割是其病害图像识别及后续工作的重要步骤。为此，基于二维最大熵原理，结合差分进化算法生成图像分割阈值，提出了一种黄瓜病害图像自动分割方法。为了避免实验中出现的偶然性误差，采用30次独立运行的差分进化优化结果平均值作为图像分割的阈值。自然条件下摄取的黄瓜炭疽病叶图像、灰霉病叶图像和霜霉病叶图像的实验测试表明，该方法具有良好的性能。
황과병해도상분할시기병해도상식별급후속공작적중요보취。위차，기우이유최대적원리，결합차분진화산법생성도상분할역치，제출료일충황과병해도상자동분할방법。위료피면실험중출현적우연성오차，채용30차독립운행적차분진화우화결과평균치작위도상분할적역치。자연조건하섭취적황과탄저병협도상、회매병협도상화상매병협도상적실험측시표명，해방법구유량호적성능。
Image segmentation of cucumber disease is an important step in its disease image recognition and subsequent works .With threshold value generated for image segmentation based on Two Dimensional Maximum Entropy principle and Differential Evolution algorithm , we propose a method of automatic segmentation of cucumber disease image .To obtain a relative fair threshold , we run Differential Evolution algorithm 30 times, and take average values of 30 times results as threshold , and use it to image segmentation .After experimental testing with Cucumber anthracnose leaf image , Botrytis leaf image and Downy mildew of leaf image which are acquired under natural conditions , results show high performance of our method .