其二是真实焊点影像的特征萃取与分类，论文中所提出之特征组是由影像区域分割与影像区域平均亮度两类所组合而成。
The second stage is the feature extraction from real solder images under the designed illumination, and the feature set proposed includes the partitioned regions and weighted areas.
彩色胶片上的亮度和颜色是不可分割的。
介绍了一种新的彩色图像亮度特征、彩色特征及梯度特征的提取方法，并应用这种方法对珍珠图像进行分割，取得良好效果。
A new method was introduced for feature extraction of the Brightness, color and gradient, and succeeded in the application of segmenting the segmentation of pearl image.
由于光照不均而造成的燃油喷雾液滴图像亮度不均，致使图像不能够有效进行阈值分割。
Nevertheless, owning to the uneven brightness, the image of fuel droplet could not be segmented efficiently.
CB模型是一种把图像分为色度和亮度方面的彩色模型，对图像进行分割去噪时可以很好地保留图像的细节和边缘。
The CB model which can hold the details of the image and keep boundary well is a chromaticity and brightness color model.
提出了一种新的考虑到亮度变化和颜色纯度的图像分割方法。
A novel method to segment image is proposed considering the intensity roughness and the color purity.
在HSV色彩空间下，通过直接设定绿色色调带宽的方法，结合树木图像的饱和度和亮度特征进行树木图像分割，同样取得了良好分割效果。
On the HSV color space, nearly equal good results could be obtained by directly setting the green chromaticity bandwidth combined with the saturation and brightness of the tree image.
该方法针对图像中不同亮度区域进行亮度补偿，使得整个图像亮度背景趋于一致后，再进行通常的阈值分割。
The method compensates every area of different luminance proportion in order to make the luminance of part area near to that of the whole area, then segment image using ordinary methods.
对具有边界不明显和亮度非均匀特征的图像，如金相学图像，使用传统方法进行分割难以得到令人满意的分割效果。
Those objects without regular boundaries and homogeneous intensities, such as metallographic images, make the conventional approaches hard to achieve a satisfactory partition.
选取HSV模型中与亮度无关的S通道作为棉花图像的特征，排除了图像明暗变化对分割效果的影响。
S channel of the HSV model is chosen as the feature of cotton images, which may get rid of the effect of light.
提出一种基于小波分解和亮度矩的复杂背景下，图像中车牌定位和分割的方法。
This paper presents an effective license plate location algorithm, which employs wavelet transformation and intensity moment to extract number plate from the complex-background images.
提出一种基于小波分解和亮度矩的复杂背景下，图像中车牌定位和分割的方法。
This paper presents an effective license plate location algorithm, which employs wavelet transformation and intensity moment to extract number plate from the complex-background images.
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