Description: 在Freeman链码基础上,提出一种新的形状描述编码:最小和统计方向码. 该方法对图像平移、旋转具有不变性的优点,对尺度变换有成比例特点. 提出了相应的形状匹配算法:方向熵法度量最小和统计方向码描述的形状相似度. 仿真试验验证了这种形状检索方法的有效性与可行性.-In the Freeman chain code based on a new shape description coding: the direction of the smallest and statistical code. The method of image translation, rotation invariance with the advantages of scale transformation on the proportion of the characteristics of success. The shape of the corresponding matching algorithm : the direction of the smallest measure of entropy and statistics to describe the shape of the direction of code similarity. simulation test to verify that the effectiveness of shape retrieval methods and feasibility. Platform: |
Size: 448512 |
Author:焦亚民 |
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Description: 利用链码和快速傅里叶描述子对形状进行识别-The use of chain code and fast Fourier descriptors to identify the shape Platform: |
Size: 355328 |
Author:康建玲 |
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Description: In short, the chain code is a way to represent a binary object by encoding only its boundary. The chain code is composed of a sequence of numbers between 0 and 7. Each number represents the transition between two consecutive boundary pixels, 0 being a step to the right, 1 a step diagonally right/up, 2 a step up, etc. In the post Measuring boundary length, I gave a little more detail about the chain code. Worth repeating here that post is the figure containing the directions associated to each code:
The chain code thus has as many elements as there are boundary pixels. Note that the position of the object is lost, the chain code encodes the shape of the object, not its location. But we only need to remember the coordinates of the first pixel in the chain to solve that. Also note, the chain code encodes a single, solid object. If the object has two disjoint parts, or has a hole, the chain code will not be able to describe the full object.-In short, the chain code is a way to represent a binary object by encoding only its boundary. The chain code is composed of a sequence of numbers between 0 and 7. Each number represents the transition between two consecutive boundary pixels, 0 being a step to the right, 1 a step diagonally right/up, 2 a step up, etc. In the post Measuring boundary length, I gave a little more detail about the chain code. Worth repeating here that post is the figure containing the directions associated to each code:
The chain code thus has as many elements as there are boundary pixels. Note that the position of the object is lost, the chain code encodes the shape of the object, not its location. But we only need to remember the coordinates of the first pixel in the chain to solve that. Also note, the chain code encodes a single, solid object. If the object has two disjoint parts, or has a hole, the chain code will not be able to describe the full object. Platform: |
Size: 1222656 |
Author:mohammed |
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Search - chain code shape