Description: 对彩色图片进行白平衡调节的灰色世界法,对一些偏色图片有较好的功效,但对有些偏色比较厉害的图片效果不是很明显-Color pictures of the white balance adjustment method of the gray world, for some color cast a better picture of the effect, but the color cast of some of the picture compared powerful effect is not very clear Platform: |
Size: 5797888 |
Author:夏英杰 |
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Description: 灰度世界法中改进的方法,结合信息熵的性质及其意义,在一维熵的基础上引入能够反映灰度分布空间特征的特征量来组成图像的二维熵,达到校正图像的目的.-Gray world method improved method, combined with the nature and significance of the information entropy is introduced to reflect the spatial intensity distribution characteristic feature quantity on the basis of the one-dimensional entropy entropy on to form a two-dimensional image, the purpose of correcting the image. Platform: |
Size: 1024 |
Author:朱 |
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Description: MATLAB 灰度世界法白平衡处理,在全局白平衡中得到广泛应用,特点是能够利用更多的图像信息来做判断-MATLAB gray world white balance processing method has been widely used in the global balance, the feature is the ability to use more image information to do judgment Platform: |
Size: 124928 |
Author:zhoufly |
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Description: 采用灰度世界的方法对图像进行光照补偿,读入的第一张图是个类似于模板的东西,第二张是待处理的图片,它们都是真彩色RGB的图形。将它们转化成灰度图后求出均值,当第一张图片与第二张图片的均值之差大于5时,就进入for循环处理-The method uses the image of the gray world of illumination compensation Platform: |
Size: 1024 |
Author:凡乐 |
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Description: 基于灰世界的白平衡算法模板,能初步了解自动白平衡的原理,为后续深入学习白平衡打下基础-The primary AWB algorithm, based on gray world theory, if you understand this method, you could learn the awb better during the awb learning later.have fun~ Platform: |
Size: 5413888 |
Author:杨宗保 |
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Description: Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
-Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
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Size: 120832 |
Author:mohammed |
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