| 1. | Firstly , image edge was detected by using several typical structure elements
首先选取几个有代表性的结构元素对灰度图像进行边缘检测得到边缘图像。 |
| 2. | Then , edges in different scale were combined according to the life of local feature , which were detected by changing the size of structure elements
改变结构元素的尺寸大小可得到多尺度下的边缘图像，根据局部边缘生存期的长短将不同尺度下的边缘图像合成。 |
| 3. | Comparing the output images , i select canny operator as optimizing edge detection operator . this paper emphasizes on stereo matching . firstly , selecting objects " edge pixels as matching elements
应用canny边缘检测后得到的图像边缘点作为匹配基元，在另一幅边缘图像中搜索对应点。 |
| 4. | Firstly , image edge was detected by using several typical structure elements . then , edges in different scale were combined according to the life of local feature , which were detect . .
改变结构元素的尺寸大小可得到多尺度下的边缘图像，根据局部边缘生存期的长短将不同尺度下的边缘图像合成。 |
| 5. | In chapter five , gained proper matching template taking advantage of edge image and mapped two sequential images basing on image transform and template matching and found moving objects
第五章利用前一章运算得到的边缘图像，选取出适当的匹配模板，综合利用中文荷要坐标空间变换和模板匹配法配准图像，检测出运动目标。 |
| 6. | In this paper , presents a new measuring method of the braiding angle of composites for the edge image with computer based on curve fitting theory . the method can suppress noise and absolve the problem of the point of edge is not continue
本文在边缘图像的基础上，根据复合材料自身的特点，提出了一种基于曲线拟合的编织角的自动测量方法，该方法能够有效地解决噪声、边缘点不连续等问题。 |
| 7. | Firstly it extents the edge detection operator of gray image - roberts edge detection operator to edge detection of color image , considering the three channels of every pixel synthetically by using euclida distance , and obtains a gray - level edge image i1
它首先将灰度图像边缘检测算子roberts算子推广到彩色图像边缘检测中，采用欧氏距离将像素彩色值的各分量综合考虑，得到灰度边缘图像i _ 1 。 |
| 8. | Second , face region ' s horizontal gray - level projection is used localize the top of the head and the middle of the nose . three , the face structure mode utilized to estimate the positions of eyes , and the edge features are checked to give the proper positions of eyes
之后利用人脸区域的水平灰度投影确定头顶至鼻中部的上下边界，然后利用人脸比例模型估计人眼的大概位置，分析人眼区域的边缘图像，给出人眼的确切位置。 |
| 9. | In this paper the detection result of some gradient operators and laplacian are also compared with the result of bp fusion model to analysis the fusion effect . at last the paper pointed out that the fusion model has higher accuracy and higher speed in the processing of oil spill image ' s edge detection
文章最后把经五个简单算子和bp融合模型处理过的边缘图像放在一起并进行了比较，得出溢油图像经该模型处理后基本收到了预想的效果。 |
| 10. | The former is the combination of human vision characters and image ' s local statistics , and judge the quality of image subjectively . but the latter judge the quality of image both subjectively and objectively . moreover , the latter compare result edge , this work is an innovation
不同之处在于：前者结合人类视觉特性，对于处理后的图像主要从主观视觉角度评价；而后者则采用在与传统方法处理结果比较的基础上，进一步比较它们的边缘图像，在达到客观评价准则意义下最优的同时尽可能多的保持图像边缘位置和细节信息。 |
