图像理解的第一课：图像分析。
图像理解是当前计算机研究领域的热点。
Image Understanding is the hotspot in computer research area.
多源图像融合是图像理解和计算机视觉领域中的一项重要课题。
Multi-source Image Fusion is an important and useful subject in Image Understanding and Computer Vision.
图像边缘是目标识别、图像理解及图像检索中常用的一个重要的特征。
Image edge is an important feature in object recognize, image understand and image retrieval.
然而这些图像难以理解。
为了更好地理解混响区域的属性，检查下一个图像。
To understand better the properties of the reverb zone, check the next image.
该方法为图像分析和理解提供简洁紧凑的数据结构。
This method provides a compact and efficient data structure for image analysis and understanding.
形状分析在图像分析和理解中扮演了十分重要的角色。
Shape analysis methods play an important role in image analysis and image understanding.
研究方向包括：图像与视频理解、计算机视觉、机器学习等。
His research interests include image and video understanding, computer vision, machine learning, etc.
对图像进行预处理，产生了一幅计算机易于识别和理解的图像，实现图像的三维重构。
After the pretreatment, an image easy to recognize and understand for computer is produced.
对图像进行预处理，产生了一幅计算机易于识别和理解的图像，实现图像的三维重构。
After the pretreatment, an image easy to recognize and understand for computer is produced.
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