提出了一种基于多重色彩转换和模糊阈值分割的垩白米检测方法。
This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.
提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。
A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement in order to enhance the contrast of image.
最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
提出了多阈值模糊互信息图像分割新方法。
The new image multi-threshold method based on fuzzy mutual information is proposed.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
针对最大熵阈值分割算法的计算缺陷，提出了一种基于直方图的模糊最大指数熵阈值图像分割新算法。
To overcome the defects of image segmentation by maximum entropy, a new method of image segmentation was presented by using fuzzy maximum exponential entropy based on histogram.
算法针对图像阈值化分割的要求构造了一种新的模糊隶属度函数，克服了传统s -函数带宽对分割效果的影响。
A new fuzzy membership function is defined in the light of requirements of image thresholding which can overcome the influence on segmentation caused by the classical s function.
方法通过各向异性滤波，统计阈值分割，数学形态学滤波，和基于模糊连接算法对脑图像进行自动分割。
Methods This method integrate anisotropic diffusion filter, statistical threshold, mathematical morphological operations, and algorithm of fuzzy connected is used in the process of segmentation.
首先用阈值分割法去除红毛丹背景，然后用模糊C均值聚类方法来分割果肉区域。
The rambutan flesh was segmented using the FCM (fuzzy C-mean) clustering method after removing the background of the image.
首先计算整幅图像的模糊连接度，通过阈值分割提取出感兴趣的对象，并将模糊连接度作为图像的冗余特征；
First, the object with interest is extracted and a new image scene is constructed using fuzzy connectedness-based method.
提出了用模糊判别的自动阈值法与手工补选样点修正阈值法相结合的图像分割方法，实现了对有其它植物叶片为背景的杂草图像的正确分割。
To segment leaves, as other leaves in image background, the segment method that combined auto-threshold with handwork sampling to modify segment threshold can segment accurately aim leaves.
本文是运用模糊阈值对红外台风云图进行分割。
In this dissertation we use fuzzy threshold to segment infrared image of Typhoon.
本文是运用模糊阈值对红外台风云图进行分割。
In this dissertation we use fuzzy threshold to segment infrared image of Typhoon.
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