The Production of Objective Region with the Shape Factor
Guan Jia · Yaogan jishu yu yingyong · 2001
In the processing of the remote sensing imagery interpretation, the needs of selecting the objects that we are interested become more and more important. But much of the work is still accomplished by handwork presently. In order to change this situation, to improve the automatic analysis of the computer, this paper makes some discussion of the objects' automatic detection that we are interested.In color edge detection, we used to applying the same method as monochrome images processing, thus we can't take good advantage of much color information. The idea of using vector order Prewitt operators to edge detectors can help us make full use of the color information. On the other hand, many Remote Sensing images are multi\|wave\|band. Therefore, using vector order Prewitt operator is more useful than conventional Prewitt operators in processing the imagery of Remote Sensing. The “Snake” algorithm is a famous active contour model, which is often used when we need a precise contour of an object in image processing field. This method will be more reliable if we consider the shape factor\|the relationship among all the Snake points in the procedure of finding the minimum energy position.According to these approaches, this paper introduces the concept of “vector order Prewitt operators” into the snake algorithm with the shape factor. During the processing, it makes some improvement in the gradient direction algorithm. That is, it can judge the orientation of a pixel's gradient directly, without computing the exact degree of the gradient. Consequently this helps to reduce the amount of computation. In addition, we make some argument about the threshold. We found that make threshold in different sequences will have different effects. The effects are shown in this paper. The effectiveness of the proposed method and its value of practicality can be confirmed by the experiments.