The classification of leaves and the shapes of leaves related to the leaf characteristics, such as the aspect ratio is the main judgement standard of a leaf. Now, we collect the data of the leaves from trees. By building the BP neural network model, we can obtain the classification results. Then considering the veins of the leaves, gene, evolution, environmental factors, by clustering analysis, obtaining the reason why leaves have different shapes. While studying the model of the growth of the trees, it found that the branch of a tree structure on the outline of the outline of basic without the influence, so it can just research the relation between leaf form and the outline of trees,. For the collected data using linear least squares fitting, we obtained leaf form and the relationship between the tree. Through a regression model, finding that leaf form index and tree index has certain negative correlation.

Shadow detection and removal is a key problem in computer vison. Shadow can lead to loss or disruption of computer vision information, and then results in unstable situations or even failure of edge extraction, object recognition and image matching in image processing. The thesis concentrates on the research of moving object shadow detection and removal, and proposed the shadow detection and removal algorithm based on RGB and YCbCr color space. The experimental results show the algorithm based on the YCbCr color space have the lowly advantage.

Abstract. The present study on video detection is mianly based on image and video sequence. In the study of the video stream, goal shot play an important role, often indicates the highlight. In recent years, audiohas become more and more important with its rich information. Through analyzing the audio in order to find the excitement and bass, combining with the goal shot to determine whether the penalty shot or not. Experiments show that based on audio and video has higher recall and precision rate. 音频与球门融合的足球视频点球镜头检测

In this article, basing on the analysis of the short about current college computer professional, explaining the sense of promote learning through competition. In order to make it implement successfully, we can follow the aspects including courses and teaching mode, opening labs, teachers Training and school policy support. Further explaining the sense of promote learning through competition is to improve students' learning habits, raising students' interest in learning, making them learning goals clearly and realizing the pleasure of learning in order to build high-efficient classroom.