Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
An effective method for image segmentation based on color and texture features is proposed.
文章提出了一种有效的基于颜色和纹理综合特征的图像分割方法。
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.
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。
On the basis of image segmentation, further researches and proposes the kind of effective method for the extraction description of color, spatial position and area-size features of an image.
在图像分割的基础上，研究并提出一种图像分割区域颜色、空间位置与面积特征的抽取与表示的有效方法。
To segment some color texture image, this paper improves the three dimensinal LEGION in order to obtain the better result for the color image segmentation of rock samples.
在此基础上，还针对某些彩色图像中含有纹理性质目标的情况，对这种方法进行了改进，将此用于彩色岩芯切片图像的分割取得了较好的效果。
To improving color segmentation effect of traffic sign under the RGB model, a method for image segmentation based on chromatic aberration was presented.
为了改善交通标志在RGB模型下的颜色分割效果，提出了一种基于三分量色差法的动态阈值分割改进方法。
This paper proposes an iris detection method based on color segmentation. To a localized eye image, color images contain more information helpful for detecting irises than intensity images.
提出了一种基于彩色分割的虹膜检测方法，对于一幅经过准确定位的眼睛窗口图像，它的彩色信息比灰度信息更有助于进行虹膜检测。
The HSI color model is not sensitive to light, so we can use it for color calibration, image segmentation by run-length code, and objection recognition to the ball, goal, and the white lines.
对于由全景视觉系统采集到的全景图像，本文采用对光线不敏感的HSI颜色模型进行颜色标定，利用游程编码进行图像分割，并在此基础上进行球、球门、角柱和白线的特征提取。
In the detection a nd recognition system for the color IC real defect image, color segmentation may be used usually to reduce the difficulties for IC defect image recognition.
在彩色IC缺陷图像的检测与识别系统中，通常采用分色技术来降低图像识别的难度。
Experimental results show that the proposed method is simple and work well for most images, and has better segmentation effect than the existing FCM color image segmentation.
实验结果表明，该算法可有效提高图像分割效果，其分割结果优于传统FCM聚类图像分割方案。
Experimental results show that the proposed method is simple and work well for most images, and has better segmentation effect than the existing FCM color image segmentation.
实验结果表明，该算法可有效提高图像分割效果，其分割结果优于传统FCM聚类图像分割方案。
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