实验结果验证了ISBEC对自然图像色彩—纹理分割的有效性。
The experimental results demonstrate the effectiveness of ISBEC for color-texture segmentation of natural images.
利用提出的算法对多幅自然场景图像进行了分割实验，实验结果证明了算法的有效性。
The new algorithm is applied to segment a number of natural images and its effectiveness and efficiency is confirmed by experimental results.
自然背景复杂的纹理特征和红外图像中的噪声影响，以及红外目标模糊的边缘，给红外目标的边界检测和分割带来一定的困难。
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background.
实验结果表明，该方法能有效检测和分割出低信噪比复杂自然背景红外图像中的目标。
The experimental results show that the method can effectively detect and segment the target in a low SNR infrared image with the complicated nature background.
实验结果表明，该方法对纹理丰富的自然风景图像有较好的分割效果。
The experiment results show that the proposed algorithm illustrates excellent performance to natural images with complex texture.
实验结果表明，该方法对纹理丰富的自然风景图像有较好的分割效果。
The experiment results show that the proposed algorithm illustrates excellent performance to natural images with complex texture.
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