An Intelligent Nonparametric GS Detection Algorithm Based on Adaptive Threshold Selection
نویسندگان
چکیده
منابع مشابه
An Edge Detection Algorithm Based on Adaptive Threshold
The threshold need artificial hypothesis in the existing edge detection algorithm. In response to this phenomenon, we propose an edge detection algorithm is based on adaptive threshold. Article algorithm was studying the characteristics of wavelet transform. And it was combined with the traditional edge detection algorithm to reset the threshold. So we can use this adaptive Threshold to search ...
متن کاملATISA: Adaptive Threshold-based Instance Selection Algorithm
Instance reduction techniques can improve generalization, reduce storage requirements and execution time of instance-based learning algorithms. This paper presents an instance reduction algorithm called Adaptive Threshold-based Instance Selection Algorithm (ATISA). ATISA aims to preserve important instances based on a selection criterion that uses the distance of each instance to its nearest en...
متن کاملAN IMPROVED INTELLIGENT ALGORITHM BASED ON THE GROUP SEARCH ALGORITHM AND THE ARTIFICIAL FISH SWARM ALGORITHM
This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...
متن کاملAn adaptive relay node selection algorithm based on opportunity
The collaborative relay network plays an important role in a smart grid application thanks to its high efficiency. However, energy and bandwidth management need to be further improved to extend network life cycle and reduce potential network segmentation. Aiming to balance the network energy consumption, this paper proposes an adaptive relay node selection algorithm based on the opportunity (OA...
متن کاملGesture Segmentation Using an Adaptive Threshold Algorithm
Hand gesture segmentation is a key step for gesture recognition. Based on the construction of a new color space of skin model, a new dynamic-thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was further developed and segmentation effect evaluation was conducted. Some images of hand gesture were processed by using ATSA and the Fixed Threshold Segmentation ...
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: JOURNAL OF RADARS
سال: 2013
ISSN: 2095-283X
DOI: 10.3724/sp.j.1300.2012.20084