halcon检测胶圈闭合

说明：  关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。(On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.)

利用蝶形算法类似于FFT，利用先行再列实现二维DCT。速度很快。包含反DCT的代码。(similar to the use of butterfly FFT algorithm, the first re-use of 2D DCT out. Very fast. Contain anti- DCT code.)

希尔伯特黄变换方法的安全评估matlab源程序(Hilbert-Huang Transformation security assessment)

1.模式匹配：子串在主串中的定位，也叫字符串匹配。模式匹配成功是指在主串S中能够找到模式串T，否则，称模式串T在主串S中不存在。 2.模式匹配的应用在非常广泛。例如，在文本编辑程序中，我们经常要查找某一特定单词在文本中出现的位置。 3.模式匹配算法的研究能极大地提高文本编辑程序的响应性能。 (1 pattern matching: substring positioned in the main string, also called string matching. Pattern matching refers success can be found in the main string S pattern string T, otherwise known as pattern string T does not exist in the main string S. 2 pattern matching in a very wide range. For example, in a text-editing program, we often have to find the location of a particular word appears in the text. 3 study of pattern matching algorithms can greatly improve the response performance of text editing program.)

我写的基于bandelet域的spiht图像压缩算法。效果比经典的SPIHT好。文章已发，希望代码对大家有用。(I wrote bandelet domain-based SPIHT image compression algorithm. SPIHT is better than a good classic. Article has been distributed, I hope the code useful for everyone.)

MCA为形态学成分分析 将图像分为纹理和结构两个部分(MCA method of image decomposition texture and structure)

计算机与机器视觉：理论，算法与实践，第四版；E. R. DAVIES 著；高清文字版(Computer and Machine Vision:Theory, Algorithms,Practicalities Fourth Edition E. R. DAVIES)

关于遥感影像分类和变化检测的一本外文数据，其特色在于用IDL实现了很多经典算法，很值得借鉴！(Foreign language data on a remote sensing image classification and change detection, which feature IDL achieve many classical algorithm, it is worth learning!)

计算机视觉中得八点算法，采用SVD分解最小二乘解来求基本矩阵，这是模拟仿真实验程序。(Was 8:00 in computer vision algorithms, using SVD decomposition least-squares solution to seek the fundamental matrix, which is simulation, experimental procedure.)

说明：  Pixel design for H-noise cal; imageJ platform ; test done