scholarly journals Fast projective image rectification for planar objects with Manhattan structure

2020 ◽  
Author(s):  
Julia Shemiakina ◽  
Ivan Konovalenko ◽  
Daniil Tropin ◽  
Igor Faradjev
Keyword(s):  
Image Rectification ◽  
Projective Image

scholarly journals LARGE SCALE CITY MAPPING USING SATELLITE IMAGERY / KOSMINIŲ NUOTRAUKŲ IŠ GOOGLE EARTH, TAIKOMŲ MIESTAMS KARTOGRAFUOTI STAMBIUOJU MASTELIU, REKTIFIKAVIMAS / РЕКТИФИКАЦИЯ КОСМИЧЕСКИХ СНИМКОВ ИЗ GOOGLE EARTH ДЛЯ КРУПНОМАСШТАБНОГО КАРТОГРАФИРОВАНИЯ ГОРОДОВ

2012 ◽  
Vol 37 (4) ◽  
pp. 168-171 ◽  
Author(s):  
Birutė Ruzgienė ◽  
Qian Yi Xiang ◽  
Silvija Gečytė
Keyword(s):  
Satellite Imagery ◽  
Large Scale ◽  
Modern Technology ◽  
Google Earth ◽  
Aerial Images ◽  
Control Points ◽  
Image Rectification ◽  
Image Deformation ◽  
Map Construction ◽  
Short Period

The rectification of high resolution digital aerial images or satellite imagery employed for large scale city mapping is modern technology that needs well distributed and accurately defined control points. Digital satellite imagery, obtained using widely known software Google Earth, can be applied for accurate city map construction. The method of five control points is suggested for imagery rectification introducing the algorithm offered by Prof. Ruan Wei (tong ji University, Shanghai). Image rectification software created on the basis of the above suggested algorithm can correct image deformation with required accuracy, is reliable and keeps advantages in flexibility. Experimental research on testing the applied technology has been executed using GeoEye imagery with Google Earth builder over the city of Vilnius. Orthophoto maps at the scales of 1:1000 and 1:500 are generated referring to the methodology of five control points. Reference data and rectification results are checked comparing with those received from processing digital aerial images using a digital photogrammetry approach. The image rectification process applying the investigated method takes a short period of time (about 4-5 minutes) and uses only five control points. The accuracy of the created models satisfies requirements for large scale mapping. Santrauka Didelės skiriamosios gebos skaitmeninių nuotraukų ir kosminių nuotraukų rektifikavimas miestams kartografuoti stambiuoju masteliu yra nauja technologija. Tai atliekant būtini tikslūs ir aiškiai matomi kontroliniai taškai. Skaitmeninės kosminės nuotraukos, gautos taikant plačiai žinomą programinį paketą Google Earth, gali būti naudojamos miestams kartografuoti dideliu tikslumu. Siūloma nuotraukas rektifikuoti Penkių kontrolinių taskų metodu pagal prof. Ruan Wei (Tong Ji universitetas, Šanchajus) algoritmą. Moksliniam eksperimentui pasirinkta Vilniaus GeoEye nuotrauka iš Google Earth. 1:1000 ir 1:500 mastelio ortofotografiniai žemėlapiai sudaromi Penkių kontrolinių taškų metodu. Rektifikavimo duomenys lyginami su skaitmeninių nuotraukų apdorojimo rezultatais, gautais skaitmeninės fotogrametrijos metodu. Nuotraukų rektifikavimas Penkių kontrolinių taskų metodu atitinka kartografavimo stambiuoju masteliu reikalavimus, sumažėja laiko sąnaudos. Резюме Ректификация цифровых и космических снимков высокой резолюции для крупномасштабного картографирования является новой технологией, требующей точных и четких контрольных точек. Цифровые космические снимки, полученные с использованием широкоизвестного программного пакета Google Earth, могут применяться для точного картографирования городов. Для ректификации снимков предложен метод пяти контрольных точек с применением алгоритма проф. Ruan Wei (Университет Tong Ji, Шанхай). Для научного эксперимента использован снимок города Вильнюса GeoEye из Google Earth. Ортофотографические карты в масштабе 1:1000 и 1:500 генерируются с применением метода пяти контрольных точек. Полученные результаты и данные ректификации сравниваются с результатами цифровых снимков, полученных с применением метода цифровой фотограмметрии. Ректификация снимков с применением метода пяти контрольных точек уменьшает временные расходы и удовлетворяет требования, предъявляемые к крупномасштабному картографированию.

scholarly journals FPGA-based lens undistortion and image rectification for stereo vision applications

2019 ◽  
Author(s):  
Christina Junger ◽  
Albrecht Hess ◽  
Maik Rosenberger ◽  
Gunther Notni
Keyword(s):  
Stereo Vision ◽  
Image Rectification

scholarly journals Tecnica di Imaging tridimensionale (Digital Breast Tomosynthesis) per la diagnosi del tumore alla mammella

2019 ◽  
Author(s):  
Di Guida Lisa ◽  
De Rosa Salvatore
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Digital Breast Tomosynthesis ◽  
Recurrence Time ◽  
Digital Tomosynthesis ◽  
Breast Tomosynthesis ◽  
X Ray Imaging ◽  
Projective Image

Breast cancer affects one in eight women over a lifetime. It is the most common cancer in women and represents 29% of all cancers affecting women, with a mortality rate of 17% of all deaths due to cancer on women. Sooner the cancer is identified with an early diagnosis, higher are the possibilities to treat it completely and longer is the recurrence time. Mammography is the most common method for early diagnosis. is a two-dimensional X-ray imaging technique and this involves the overlapping of the tissues in the projective image inability to visualize cancer in the first stage. In recent years, three-dimensional imaging techniques have been introduced, including digital tomosynthesis for the diagnosis of breast cancer, this technique has the advantages to perform dozens of projections, and not just one, from various angular views around the compressed breast. The major benefits of tomosynthesis are a lower stratification of breast tissues, better visibility of tumor masses especially for small tumors, breast tomosynthesis provides the ability to visualize 3D images to obtain a more accurated evaluation of lesions allowing better differentiation between overlapping fabrics.

Self-Supervised Deep Fisheye Image Rectification Approach using Coordinate Relations

2021 ◽  
Author(s):  
Masaki Hosono ◽  
Edgar Simo-Serra ◽  
Tomonari Sonoda
Keyword(s):  
Image Rectification

Image rectification for prism-based stereoscopic optical systems

2019 ◽  
Vol 182 ◽  
pp. 30-37 ◽  
Author(s):  
A.O. Kuznetsov ◽  
A.V. Gorevoy ◽  
A.S. Machikhin
Keyword(s):  
Optical Systems ◽  
Image Rectification
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