sidf: a novel framework for accurate surgical instrument detection in laparoscopic video frames

نویسندگان

toktam khatibi

mohammad mehdi sepehri

pejman shadpour

چکیده

background and objectives: identification of surgical instruments in laparoscopic video images has several biomedical applications. while several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. this paper introduces a surgical instrument detection framework (sidf) for accurate identification of surgical instruments in complex laparoscopic video frames. methods: based on the generalized near-set theory, a novel image segmentation algorithm, termed generalized near-set theory-based image segmentation algorithm (gnstisa) was developed. according to sidf, first gnstisa is executed to segment the laparoscopic images. next, the segments generated by gnstisa are filtered based on their color and texture. the remaining segments would then indicate surgical instruments. findings: using the laparoscopic videos of varicocele surgeries obtained from hasheminezhad kidney center, the performance of gnstisa was compared with previous image segmentation methods. the results showed that gnstisa outperforms the earlier algorithms in term of accurate segmentation of laparoscopic images. moreover, the accuracy of sidf in identifying the surgical instruments was found superior to that of other methods. conclusions: sidf eliminates the limitations of previous image segmentation methods, and can be used for precise identification of surgical instrument detection.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SIDF: A Novel Framework for Accurate Surgical Instrument Detection in Laparoscopic Video Frames

Background and Objectives: Identification of surgical instruments in laparoscopic video images has several biomedical applications. While several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. This paper introduces a Surgical Instrument Detection Framework (SIDF) for a...

متن کامل

A Novel Framework for Video Piracy Detection

The digital age has ushered in a plethora of ways for video recapture and video tampering. Subsequently, digital video forensics has become increasingly important, in which recaptured video detection is one branch. The applications are not limited for illegal video copies detection in professional cinematography and home entertainment, and surveillance video authentication in crime scene invest...

متن کامل

Text detection in video frames

In this paper we present the state of the art for detecting text in images and video frames and propose an edge-based algorithm for artificial text detection in video frames. First, an edge map is created using the Canny edge detector. Then, morphological filtering is used, based on geometrical constraints, in order to connect the vertical edges and discard false alarms. A connected component a...

متن کامل

A Novel Video Matching Framework for Copy Detection †

The fixed-length sliding window approach is widely used in video search applications. This approach computes the similarity between a given query and each windowed sequence, and determines whether their similarity exceeds a predefined threshold. However, using the fixed window length and the predefined threshold is inflexible for detecting video copies that might have been derived by applying a...

متن کامل

A novel ball detection framework for real soccer video

Despite a lot of research efforts in sports video analysis, soccer video indexing remains a challenging task due to the lack of structure in a soccer game that could help in structure analysis. In particular, little work was done in detecting and tracking the ball whose trajectory could play a crucial role for detecting key events. We propose a novel framework for accurately detecting the ball ...

متن کامل

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

15 صفحه اول

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
international journal of hospital research

ناشر: iran university of medical sciences

ISSN 2251-8940

دوره 2

شماره 4 2013

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023