A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
提出了基于二维直方图分析的二元子图微光图像增强处理算法。
In the paper, added the gradient information into the image gradation histogram, proposed the gradation-gradient two-dimensional histogram.
通过对图像的灰度直方图中加入它的梯度信息，提出了灰度-梯度的二维直方图。
The concept of the two-dimensional bound histogram is proposed, and an automatic threshold selection method based on that histogram is presented.
提出了二维属性直方图的概念，进而提出了一种基于二维属性直方图的图像自动阈值化方法。
In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.
该文提出了一种通过最大化二维直方图模糊划分熵分割灰度图像的新算法。
A new fuzzy thresholding method of image segmentation is presented which is based on the two-dimensional histogram.
把二维直方图方法应用于模糊门限分割中，提出了一种基于二维直方图的模糊门限分割方法。
In the paper, a method of image segmentation by ant colony algorithm based on two-dimensional gray histogram is presented.
提出了一种基于二维灰度直方图的蚁群图像分割方法。
Compared with other methods, the algorithm has obvious advantages and it can be applied to all two-dimensional histogram based threshold segmentation methods.
经过和其他算法比较表明，该算法有明显的优越性，可以运用于基于二维直方图的阁值分割中。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
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