An Effective Approach of Negative Selection Algorithm with Canny Algorithm for Detection of Edges
نویسندگان
چکیده
منابع مشابه
An Effective Approach of Negative Selection Algorithm with Canny Algorithm for Detection of Edges
Edge detection plays inevitable role in vision processing. The main issues are to discover edges in an image, so the initial step is to procedure of view reproduction. It has been shown in many papers that the most of the existing techniques has neglected the use of colours while detecting the edges but in many applications a region can be categorized based upon the colour. This paper has shown...
متن کاملAn Approach for Canny Edge Detection Algorithm on Face Recognition
The paper obtainable here is a challenge to use a canny edge detection algorithm for face recognition. Defined an edge as a set of related pixels that forms a margin between two disjoints regions, the automatic recognition of human faces grants an important challenge to the research community of pattern recognition. There are differences in the lighting, angles , facial expressions and poses, f...
متن کاملNegative Selection Algorithm for Aircraft Fault Detection
We investigated a real-valued Negative Selection Algorithm (NSA) for fault detection in man-in-the-loop aircraft operation. The detection algorithm uses body-axes angular rate sensory data exhibiting the normal flight behavior patterns, to generate probabilistically a set of fault detectors that can detect any abnormalities (including faults and damages) in the behavior pattern of the aircraft ...
متن کاملNegative selection algorithm for dengue outbreak detection
Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may...
متن کاملAn Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
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: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18827-0267