法国雷恩国立应用研究科学学院Kidiyo Kpalma教授将于9月19日到js33333金沙线路检测做图像分析和理解学术报告，并将进行为期两周的系列讲学。讲学内容为：

Image analysis and interpretation

Lectures are dedicated to "Image analysis and interpretation". These lectures will enable attendees to apprehend the essential aspects of digital image analysis and understanding. Image analysis consist of extracting useful and meaningful information so that to help the user understand the content of the image. This information may be extracted directly from the image itself or from its transform. Exercises will be developed in parallel, on one hand at the blackboard and on the other hand with dedicated software.

OUTLINES

1. Introduction to Digital Image
2. Mathematical Morphology
3. Filtering
4. Enhancement
5. Restoration
6. Introduction to Analysis and Segmentation
7. Features for edge based segmentation
8. Edge-based segmentation
9. Features for region based segmentation
10. Region-based segmentation
11. Classification

Resume of Professor Kidiyo Kpalma:

Kidiyo Kpalma joined the University of Rennes 1 in France from whom he obtained his M Sc. in Signal Processing in 1988. He then joined the National Institute for Applied Sciences of Rennes (INSA) for his PhD studies in Image Processing: he received this degree in 1992.

Since 1994, he is Associate Professor (Maître de conferences) at INSA where he teaches Signal and Systems, Signal Processing and DSP in the department of Electronic and Computer Engineering. As a member of the Image and Remote Sensing group of the Institute of Electronics and Telecommunications of Rennes (IETR), his research interests are image analysis, pattern recognition, image fusion and remote sensing.

He received, his HDR (Habilitation à diriger des recherches), the higher Doctorate in France, in Signal Processing and Telecommunications from the University of Rennes 1 in 2009.

IETR brings together researchers working in the fields of electronics and telecommunications at the University of Rennes 1, the Rennes Institute for Applied Sciences (INSA) and SUPELEC. With more than 200 people, the institute is linked to French National Center for Scientific Research (CNRS) and places the emphasis on developing the skills needed to explore a wide range of emerging applications.

学术活动日程安排

特聘教师： Kidiyo KPALMA                        学科方向：      信号与图像处理                                                        　　　

参加人员为图像处理专业方向教师，高年级研究生，选修图像处理课程学生，其它对图像处理感兴趣的老师和学生。