A Study on Underwater Cable Automatic Recognition Using Hough Transformation
نویسندگان
چکیده
it. In fact, video tape is recorded by the video camera which is settled on the AUV. Using these video tapes, we In this paper, we make an attempt to predict the location can know cable's status, and know whether the cable is in of a cable in next frame according to some parameters dangerous. in current frame. At first, the initial condition is that Developing with examination about the Underwater the approximate location of cable must be given. From Optical Cable Network, there are a lot of video tapes are Hough Transformation, a high accumulated degree point taken by the AUV's video camera. A useful automatic in ~~~~h Space is gotten. Aftemar&, by inverse ~~~~h algorithms which can recognize cable and find whether IPransfonnation, using that point, the location is detected the cable is in dangerous is required. This Paper shows and then cable is pointed out from its original image. a study on how to recognize an underwater cable effecBased on the actual working conditions and perfortively by means of time sequence of limited parameter mance indices, as well as the location in current frame, using HOugh Transformation. the maximum mnge of degree within which the cable maybe occurred i n next frame with high possibility is evaluated. firthemore, a narrower mnge of location in next frame 2 Normalized Distribution is confinned according to the speed of robot. It is this narrow range that reduces the influence o f the backqround on 2.1 Recognition on Road the detect object to the least. Therefore, the location of In the past, researches' subjects on Automatic Recognicable can be detected more accurately. tion System were limited on road. For example, a Advanced Car Driver Systeml1I, a Car Automatic 'Ikacking System121, a Car's Number Plate Extraction System and
منابع مشابه
Robust Iris Recognition in Unconstrained Environments
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...
متن کاملReal-time pattern recognition for guidance of an autonomous undersea submersible
This paper reports the initial results of an effort to develop simple and fast vision algorithms on compact and imoeddaDle hardware for the guidance and control of an autonomous underwater vehicle. The specific application involves tracking underwater cables and chains. Feature points are identified in the underwater video images using a technique which combines segmentation by gray level and r...
متن کاملEvaluation of the Parameters Involved in the Iris Recognition System
Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...
متن کاملHough Transform and Its Application in Vehicle License Plate Tilt Correction
In a vehicle license plate recognition system, tilt vehicle license plate has a bad effect on its character segmentation and recognition. In this paper, tilt models of a plate are analyzed and a approach for number plate tilt correction is presented. Hough Transformation is an effective method to obtain vertical or horizontal angle. Though rotating a correct angle, Tilt vehicle license will be ...
متن کاملImage Shape Extraction using Interval Methods
This paper proposes a new method for recognition of geometrical shapes (such as lines, circles or ellipsoids) in an image. The main idea is to transform the problem into a bounded error estimation problem and then to use an interval-based method which is robust with respect to outliers. The approach is illustrated on an image taken by an underwater robot where a spheric buoy has to be detected....
متن کامل