Search

Copyright of Journal of the Chinese Society of Rare Earths is the property of Editorial Department of Journal of the Chinese Society of Rare Earths and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ａｉｍｉｎｇ ａｔ ｔｈｅ ｐｒｏｂｌｅｍｓ ｏｆ ｔｈｅ ｒｅｆｌｅｃｔｉｏｎ￣ｌｉｇｈｔ ｉｎｔｅｒｆｅｒｅｎｃｅ ａｎｄ ｔｈｅ ｄｉｆｆｉｃｕｌｔｙ ｏｆ ｄｅｔｅｃｔｉｎｇ ｌａｒｇｅ ｓｉｚｅ ａｌｕｍｉｎｕｍ ａｌｌｏｙ ｐａｒｔｓ ｉｎ ｔｈｅ ｄｉ￣ ｍｅｎｓｉｏｎ ｅｒｒｏｒｓ ｄｅｔｅｃｔｉｏｎ ｐｒｏｃｅｓｓꎬ ｔｈｅ ｍａｃｈｉｎｅ ｖｉｓｉｏｎ ｓｙｓｔｅｍꎬ ｉｍａｇｅ ｓｙｎｔｈｅｓｉｓꎬ ａｎｄ ｉｍａｇｅ ｐｒｏｃｅｓｓｉｎｇ ｗｅｒｅ ｓｔｕｄｉｅｄ. Ｔｈｅｎꎬａｎ ａｕｔｏｍａｔｉｃ ｄｅｔｅｃ￣ ｔｉｏｎ ｍｅｔｈｏｄ ｂａｓｅｄ ｏｎ ｍａｃｈｉｎｅ ｖｉｓｉｏｎ ｓｙｓｔｅｍ ｗａｓ ｐｒｏｐｏｓｅｄ. Ｔｈｅ ｈｉｇｈ ｐｒｅｃｉｓｉｏｎ ｉｍａｇｅｓ ｆｏｒ ｌａｒｇｅ ｓｉｚｅ ｐａｒｔｓ ｗｅｒｅ ｏｂｔａｉｎｅｄ ｂｙ ｕｓｉｎｇ ａ ｃｏａｘｉａｌ ｐａｒａｌｌｅｌ ｌｉｇｈｔ ｓｙｓｔｅｍ ａｎｄ ａ ｔｗｏ￣ａｘｉｓ ｍｏｔｉｏｎ ｐｌａｔｆｏｒｍ. Ｉｎ ｏｒｄｅｒ ｔｏ ｏｂｔａｉｎ ａ ｈｉｇｈｅｒ ｄｅｔｅｃｔｉｏｎ ａｃｃｕｒａｃｙꎬ ｔｈｅ ｌｏｃａｌ ｈｉｇｈ ｐｒｅｃｉｓｉｏｎ ｉｍａｇｅｓ ｗｅｒｅ ｃａｐ￣ ｔｕｒｅｄ ａｎｄ ｔｈｅｎ ｓｐｌｉｃｅｄ ｔｏｇｅｔｈｅｒ ｔｏ ｒｅｂｕｉｌｄ ｔｈｅ ｗｈｏｌｅ ｉｍａｇｅ ｏｆ ｔｈｅ ａｌｕｍｉｎｕｍ ａｌｌｏｙ ｐａｒｔꎬ ｗｈｉｃｈ ａｌｌｏｗｓ ｔｈｉｓ ｍｅｔｈｏｄ ｔｏ ｄｅｔｅｃｔ ｌａｒｇｅ ｓｉｚｅ ｐａｒｔｓ ｗｉｔｈ￣ ｏｕｔ ｓｉｚｅ ｌｉｍｉｔａｔｉｏｎ. Ｔｈｅ ｐｒｅｐｒｏｃｅｓｓ ａｎｄ ｆｅａｔｕｒｅ ｅｘｔｒａｃｔｉｏｎ ｏｆ ｔｈｅ ｏｂｔａｉｎｅｄ ｉｍａｇｅｓ ｗｅｒｅ ｐｅｒｆｏｒｍｅｄ ｂｙ ｖｉｓｕａｌ ｉｎｓｐｅｃｔｉｏｎ ｔｅｃｈｎｏｌｏｇｙ. Ｔｈｅ ｐａｒｔ ｅｄ￣ ｇｅｓ ｗｅｒｅ ｅｘｔｒａｃｔｅｄ ｂｙ ｕｓｉｎｇ Ｃａｎｎｙ ｏｐｅｒａｔｏｒ ｃｏｍｂｉｎｅｄ ｗｉｔｈ ｂｉｌｉｎｅａｒ ｉｎｔｅｒｐｏｌａｔｉｏｎ ｍｅｔｈｏｄꎬ ｗｈｉｃｈ ｃａｎ ｏｂｔａｉｎ ｓｕｂ￣ｐｉｘｅｌ ｐｒｅｃｉｓｉｏｎ ｆｏｒ ｔｈｅ ｐａｒｔ ｅｄ￣ ｇｅｓ. Ｔｈｅ ｄｉｍｅｎｓｉｏｎ ｅｒｒｏｒｓ ｏｆ ａｌｕｍｉｎｕｍ ａｌｌｏｙ ｐａｒｔｓ ｗｅｒｅ ｄｅｔｅｒｍｉｎｅｄ ｂｙ ｍａｔｃｈｉｎｇ ｔｈｅｓｅ ｐｒｏｃｅｓｓｅｄ ｉｍａｇｅｓ ｗｉｔｈ ｔｈｅ ＣＡＤ ｄｒａｗｉｎｇｓ. Ｔｈｅ ｒｅｓｕｌｔｓ ｉｎｄｉｃａｔｅ ｔｈａｔ ｔｈｅ ｄｅｔｅｃｔｉｏｎ ａｃｃｕｒａｃｙ ｉｓ ｈｉｇｈｅｒ ｔｈａｎ ０. ０２ｍｍꎬ ｗｈｉｃｈ ｃａｎ ｍｅｅｔ ｔｈｅ ｒｅｑｕｉｒｅｍｅｎｔ ｏｆ ｔｈｅ ａｕｔｏｍａｔｉｃ ｄｅｔｅｃｔｉｏｎ ｆｏｒ ｔｈｅ ａｌｕｍｉｎｕｍ ａｌｌｏｙ ｐａｒｔ ｍａｎｕｆａｃｔｕｒｅ. [ABSTRACT FROM AUTHOR]

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)