Research on Edge Detection Algorithm for Caption Extraction from Video Frames

2012 ◽  
Vol 190-191 ◽  
pp. 1040-1043
Author(s):  
Jin Wu
Keyword(s):  
Edge Detection ◽  
Test Object ◽  
Video Retrieval ◽  
Detection Algorithm ◽  
Video Data ◽  
Experimental Results ◽  
Video Frame ◽  
Edge Detection Algorithm ◽  
Video Frames ◽  
Caption Text

Text area extraction from video caption has become an important tool for content-based video retrieval. Test object is frame data intercepted from video data. This paper proposes an algorithm of edge detection to extract caption text that embedded in the video frame by grayed processing. Experimental results have shown that the proposed approach is very effective in text area detection.

Agent Searching Edge Detection Algorithm for Bone Images

2012 ◽  
Vol 433-440 ◽  
pp. 6453-6456
Author(s):  
Hong Guang Zhang ◽  
Yuan’ An Liu ◽  
Bi Hua Tang ◽  
Zhi Peng Jia ◽  
Yan Qin
Keyword(s):  
Image Segmentation ◽  
Edge Detection ◽  
Feature Vector ◽  
Three Dimensional ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Human Skeleton ◽  
Edge Detection Algorithm ◽  
Vector Correlation ◽  
Computer Aided

Bone image segmentation is the important technology for computer aided bone diagnosis system and the foundation for three-dimensional visualization of the human skeleton. Agent searching edge detection algorithm for bone images is proposed. Based on neighbor region correlation and regional harmonic mean feature vector correlation, different species of agent accomplish searching bone edge and experimental results are satisfactory. Experimental results comparison about the proposed algorithm, Prewitt, Sobel, Log and Canny is illustrated that demonstrates the proposed algorithm has advantages in some respects.

Wavelet Based Edge Detection for Structural Dynamics

1997 ◽  
Author(s):  
Sophoclis Patsias ◽  
Wieslaw J. Staszewski ◽  
Geoffrey R. Tomlinson
Keyword(s):  
Edge Detection ◽  
Dynamic Testing ◽  
Video Camera ◽  
Detection Algorithm ◽  
Video Data ◽  
Structural Vibration ◽  
Video Frame ◽  
New Approach ◽  
Dyadic Wavelet ◽  
Dyadic Wavelet Transform

Abstract A new approach to dynamic testing/analysis based on the use of video data and edge contours is presented. Structural vibration is captured by the use of a computer video camera and wavelet analysis is then applied to each video frame. The analysis employs the discrete dyadic wavelet transform and the Mallat edge detection algorithm. The method is applied to the vibration analysis of a cantilever beam with a fault.

Airport Runway Debris Edge Detection Algorithm

2014 ◽  
Vol 1065-1069 ◽  
pp. 671-674
Author(s):  
Yan Ying Guo ◽  
Zhi Gang Liu
Keyword(s):  
Edge Detection ◽  
Environmental Conditions ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Edge Detection Algorithm ◽  
Image Edge ◽  
Adverse Environmental Conditions ◽  
Airport Runway ◽  
Morphology Algorithm ◽  
Image Details

Airport runway debris detection decides security of plane and passengers. The relative merits of the various types of sensor and the effects of adverse environmental conditions on their performance, a novel fuzzy weighted morphology algorithm of detection about runway debris is approved. The experimental results show that the proposed algorithm, compared with a few classic algorithms of edge detection, which can achieves the image edge precisely and reduce noises, better retain the image details, and adaptively detect the complete and successive edges.

Research on Broken Filament Detection Method of Silk Product

2014 ◽  
Vol 716-717 ◽  
pp. 848-850
Author(s):  
Chang Niu Yang ◽  
Xing Bo Sun
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Gabor Filter ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Edge Information ◽  
Edge Detection Algorithm ◽  
Ideal Image ◽  
Image Edge ◽  
Image Edges

In this paper, we put forward a kind of adaptive edge detection algorithm of Gabor filter for silk product broken filament image. Use different directions’ Gabor filter to respectively get the broken filament image edge information. Using the method proposed in this paper to fuse the edges adaptively obtained from different directions Gabor filter, we obtain ideal image edges, and effectively eliminate the noise, also enhance the fuzzy edges at the same time. Experimental results show that the algorithm for silk products processing is effective, and the broken filament detected is clear.

Application of Improved Canny Edge Detection Algorithm in Coal-Rock Interface Recognition

2012 ◽  
Vol 220-223 ◽  
pp. 1279-1283 ◽  
Author(s):  
Li Hong Dong ◽  
Peng Bing Zhao
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Rock Interface ◽  
Coal Rock ◽  
Image Edge ◽  
Canny Algorithm ◽  
Canny Edge Detection Algorithm

The coal-rock interface recognition is one of the critical automated technologies in the fully mechanized mining face. The poor working conditions underground result in the seriously polluted edge information of the coal-rock interface, which affects the positioning precision of the shearer drum. The Gaussian filter parameters and the high-low thresholds are difficult to select in the traditional Canny algorithm, which causes the information loss of gradual edge and the phenomenon of false edge. Consequently, this paper presents an improved Canny edge detection algorithm, which adopts the adaptive median filtering algorithm to calculate the thresholds of Canny algorithm according to the grayscale mean and variance mean. This algorithm can protect the image edge details better and can restrain the blurred image edge. Experimental results show that this algorithm has improved the edge extraction effect under the case of noise interference and improved the detection precision and accuracy of the coal-rock image effectively.

Sign in / Sign up

Export Citation Format

Share Document