2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing

2016 ◽  
pp. 90-100 ◽  
Author(s):  
Anthony Agustinos ◽  
Sandrine Voros
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Surgical Instruments ◽  
Endoscopic Image ◽  
Real Time Tracking

scholarly journals Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5391
Author(s):  
Fan Yin ◽  
Chao Li ◽  
Haibin Wang ◽  
Fan Yang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Target Detection ◽  
Ambient Noise ◽  
Arrival Direction ◽  
Processing Methods ◽  
Acoustic Target ◽  
Real Time Tracking ◽  
Passive Acoustic ◽  
Target Detecting

Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.

Implementation of real-time digital endoscopic image processing system

1997 ◽  
Author(s):  
Chul Gyu Song ◽  
Young Mook Lee ◽  
Sang Min Lee ◽  
Won Ky Kim ◽  
Jae Ho Lee ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Processing System ◽  
Endoscopic Image

scholarly journals Real-time tracking of surgical instruments based on spatio-temporal context and deep learning

2019 ◽  
Vol 24 (sup1) ◽  
pp. 20-29 ◽  
Author(s):  
Zijian Zhao ◽  
Zhaorui Chen ◽  
Sandrine Voros ◽  
Xiaolin Cheng
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Surgical Instruments ◽  
Temporal Context ◽  
Real Time Tracking ◽  
Spatio Temporal

System for 3-D Real-Time Tracking of MRI-Compatible Devices by Image Processing

2008 ◽  
Vol 13 (3) ◽  
pp. 379-382 ◽  
Author(s):  
Marc Rea ◽  
Donald McRobbie ◽  
Haytham Elhawary ◽  
Zion Tsz Ho Tse ◽  
Michael LampÉrth ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Real Time Tracking

scholarly journals Real time tracking in 3D space by image processing

2008 ◽  
Vol 6 (6) ◽  
pp. 1-13
Author(s):  
Khalid Al-Khateeb ◽  
Mat Awang ◽  
Othman Khalifa
Keyword(s):  
Image Processing ◽  
Real Time ◽  
3D Space ◽  
Real Time Tracking

Model Klasifikasi Mata Katarak dan Normal Menggunakan Histogram

2017 ◽  
Vol 9 (1) ◽  
pp. 33-36
Author(s):  
Valencia Wirawan ◽  
Yustinus Eko Soelistio
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Index Terms

Telah banyak penelitian pada citra medis telah diadopsi oleh sebagian besar ilmuwan dan dokter yang dapat membantu dalam mendeteksi gangguan pada mata terutama katarak. Namun, umumnya penelitian tersebut menggunakan citra medis atau digital yang relatif mahal dan sulit didapatkan oleh sebagian orang, dan metode yang rentan akan translasi (pergeseran), serta perubahan ukuran gambar dan bentuk objek. Penelitian ini mengembangkan sebuah metode menggunakan model histogram untuk mengklasifikasi mata katarak dari citra digital dengan (1) format yang lebih umum seperti JPEG dan (2) lebih toleranterhadap translasi dan perubahan ukuran. Metode ini juga mampu bekerja dengan baik menggunakan citra digital dalam citra mata yang tidak tegak lurus terhadap kamera. Metode ini mencapai akurasi 79,03% dalam kondisi bebas dan 88.47% dalam kondisi mata tegak lurus terhadap kamera. Metode ini mempunyai kompleksitas yang rendah sehingga dapat digunakan pada komputer dengan spesifikasi rendah dan sistem yang membutuhkan kecepatan mendekati real-time. Index Terms—Image processing, cataract, classification, histogram

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