考虑SLM显微图像的特征和图像的彩色信息，在HSI彩色空间和向量空间的基础上，提出了两种基于小波变换的边缘检测算法。
Considering the characteristics of SLM microscopic images and color information of them, two wavelet transformation based methods in HSI color space and vector space for edge detection are proposed.
该文基于灰度图像的对数图像处理LIP模型，建立了彩色图像的对数图像处理CLIP模型，并在此模型上进行了对彩色图像边缘检测技术的系统研究。
This paper develops CLIP model of color image based on LIP model of gray image, and makes edge detection in the components fields, and then using multivariate regression method in the.
利用小波边缘检测原理，给出一种能根据不同彩色背景自动选取阀值的小波边缘检测算法。
Finally, we use the principle of wavelet edge detection and suggest an algorithm of automatic threshold choice according to difference color background in wavelet edge detection.
边缘信息是图像处理中的一种重要信息，通常的边缘检测研究是基于灰度图像的，然而彩色图像比灰度图像包含有更加丰富的边缘信息。
Edge information is important in image processing. The research of edge detection is based on gray image commonly. However, more edge information can be got from color image than that from gray image.
本文利用数学形态学在描述灰度图像方面的优势，将灰度形态学边缘检测法运用到彩色图像中。
This paper makes use of the advantages of mathematical morphology which describes gray image, to implement the gray morphological edge detection in the color images.
而在HSL颜色空间，构建了一类基于多结构元形态的边缘梯度…更多检测算法，提出了改进的多结构元彩色形态边缘检测算法，并作了信噪比比较分析。
The improved method of realizing edge detection is proposed based on multi-structuring elements color morphological, and comparative analysis of signal to noise ratio has been made.
而在HSL颜色空间，构建了一类基于多结构元形态的边缘梯度…更多检测算法，提出了改进的多结构元彩色形态边缘检测算法，并作了信噪比比较分析。
The improved method of realizing edge detection is proposed based on multi-structuring elements color morphological, and comparative analysis of signal to noise ratio has been made.
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