Computer Image Feature Extraction Algorithm for Robot Visual Equipment
نویسندگان
چکیده
منابع مشابه
Computer Image Feature Extraction Algorithm for Robot Visual Equip- ment
To improve the poor condition of the robot image feature extraction with change in the environment, this thesis made improvement in the Local Binary Patterns (LBP), and proposed the SIFT-MLBP image feature extraction, coding by partition grid based on the correlation between the neighboring image center pixel points. After obtaining the key image characteristics by using the SIFT algorithm, a g...
متن کاملFeature Extraction for Electronic Equipment Manufacturing
The authors have been involved in the implementation of a total quality control project in a communications equipment company, whose products are mounted and tested in a manufacturing plant controlled by an IBM Token Ring LAN. The first implementation of total quality control project was an ATE (Automatic Test Equipment) LAN node that runs a program of verification for single-channel and multic...
متن کاملA Novel Feature Extraction Algorithm for Outdoor Mobile Robot Localization
Navigation is one of the basic problems for autonomous mobile robots. Its history can be traced back to long time ago. Today, navigation is a well-understood quantitative science, used routinely in maritime and aviation applications [Adams, 1999]. Given this, the question must be asked as to why robust and reliable autonomous mobile robot navigation remains such a difficult problem. The core of...
متن کاملVisual Feature Extraction for Content-Based Image Retrieval
In this age of computers, virtually all spheres of human life including commerce, government, academics, hospitals, crime prevention, surveillance, engineering, architecture, journalism, fashion and graphic design, and historical research use images for efficient services. In the medical profession, X-rays and scanned image database are kept for diagnosis, monitoring, and research purposes. In ...
متن کاملA Parallel Distributed Processing Algorithm for Image Feature Extraction
We present a new parallel algorithm for image feature extraction. which uses a distance function based on the LZ-complexity of the string representation of the two images. An input image is represented by a feature vector whose components are the distance values between its parts (sub-images) and a set of prototypes. The algorithm is highly scalable and computes these values in parallel. It is ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Open Automation and Control Systems Journal
سال: 2015
ISSN: 1874-4443
DOI: 10.2174/1874444301507011993