灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法_图像处理_视觉测量

[{"title":"（ 16 个子文件 33KB ） 灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法_图像处理_视觉测量","children":[{"title":"two_valuable","children":[{"title":"Image00001.bmp <span style='color:#111;'> 440.74KB </span>","children":null,"spread":false},{"title":"Threshold.asv <span style='color:#111;'> 340B </span>","children":null,"spread":false},{"title":"med.asv <span style='color:#111;'> 622B </span>","children":null,"spread":false},{"title":"Image00002.bmp <span style='color:#111;'> 440.80KB </span>","children":null,"spread":false},{"title":"car.bmp <span style='color:#111;'> 139.12KB </span>","children":null,"spread":false},{"title":"getedge.m <span style='color:#111;'> 678B </span>","children":null,"spread":false},{"title":"Max_Medium.asv <span style='color:#111;'> 570B </span>","children":null,"spread":false},{"title":"enimage.m <span style='color:#111;'> 412B </span>","children":null,"spread":false},{"title":"med.m <span style='color:#111;'> 650B </span>","children":null,"spread":false},{"title":"getedge.asv <span style='color:#111;'> 678B </span>","children":null,"spread":false},{"title":"Image00000.bmp <span style='color:#111;'> 439.46KB </span>","children":null,"spread":false},{"title":"two_valuable.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"Max_Medium.m <span style='color:#111;'> 588B </span>","children":null,"spread":false},{"title":"Threshold.m <span style='color:#111;'> 323B </span>","children":null,"spread":false},{"title":"two_valuable.asv <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"Image00003.bmp <span style='color:#111;'> 442.08KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]