找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Vision for X-Ray Testing; Imaging, Systems, Im Domingo Mery,Christian Pieringer Textbook 2021Latest edition Springer Nature Switze

[復(fù)制鏈接]
樓主: 相反
21#
發(fā)表于 2025-3-25 06:08:53 | 只看該作者
Simulation in X-ray Testing,Networks (GANs) in the simulation of realistic X-ray images. Finally, we present ‘a(chǎn)RTist’, a simulation software that can be used to generate very realistic X-ray images. The chapter also has some Python examples that the reader can run and follow easily.
22#
發(fā)表于 2025-3-25 10:09:07 | 只看該作者
Textbook 2021Latest editionom industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.
23#
發(fā)表于 2025-3-25 12:33:46 | 只看該作者
X-ray Testing,ndetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are the inspection of automotive parts, quality control of welds, baggage screening, analysis of food products, inspection of cargos, and quality
24#
發(fā)表于 2025-3-25 19:11:15 | 只看該作者
Images for X-ray Testing,. The images are organized in a public database called .ray+that can be used free of charge, but for research and educational purposes only. The database includes five groups of X-ray images: castings, welds, baggage, natural objects, and settings. Each group has several series, and each series seve
25#
發(fā)表于 2025-3-25 23:27:29 | 只看該作者
Geometry in X-ray Testing, view geometry which is normally used in X-ray computer vision systems. The chapter describes an explicit model which relates the 3D coordinates of an object to the 2D coordinates of the digital X-ray image pixel, the calibration problem, the geometric and algebraic constraints between two, three, a
26#
發(fā)表于 2025-3-26 01:22:29 | 只看該作者
27#
發(fā)表于 2025-3-26 04:18:52 | 只看該作者
28#
發(fā)表于 2025-3-26 10:18:50 | 只看該作者
29#
發(fā)表于 2025-3-26 13:02:19 | 只看該作者
Deep Learning in X-ray Testing,ith features that are . efficiently using a hierarchical feature extraction approach. Usually, the learned features are so discriminative that no sophisticated classifiers are required. In last years, deep learning has been successfully used in image and video recognition, and it has been establishe
30#
發(fā)表于 2025-3-26 19:14:44 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 06:12
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
郯城县| 闸北区| 揭西县| 徐汇区| 阜城县| 华宁县| 仪陇县| 崇州市| 谷城县| 天台县| 海晏县| 武陟县| 淮安市| 宁河县| 玛曲县| 仙游县| 邢台市| 百色市| 郎溪县| 威宁| 沂南县| 泾源县| 高安市| 积石山| 揭东县| 得荣县| 农安县| 礼泉县| 泰顺县| 梧州市| 哈巴河县| 阳江市| 阿拉善盟| 麟游县| 永顺县| 平塘县| 隆林| 乐亭县| 呼和浩特市| 西宁市| 南木林县|