An Image Segmentation Method for Global Vision Robot Fish Competition
نویسندگان
چکیده
منابع مشابه
An image threshold segmentation method based on multi-behaviour global artificial fish swarm algorithm
Firstly, this paper describes how the histogram analysis method pre-processes the images to be segmented. Then is makes a detailed analysis of the working principles and behaviour pattern of basic artificial fish swarm algorithm (AFSA); dissects the defects of AFSA in principle and proposes an improved AFSA with global convergence. Finally, it presents the main steps of image threshold segmenta...
متن کاملAn Improved Pixon-Based Approach for Image Segmentation
An improved pixon-based method is proposed in this paper for image segmentation. In thisapproach, a wavelet thresholding technique is initially applied on the image to reduce noise and toslightly smooth the image. This technique causes an image not to be oversegmented when the pixonbasedmethod is used. Indeed, the wavelet thresholding, as a pre-processing step, eliminates theunnecessary details...
متن کاملVision-Based Reinforcement Learning for RoboCup : Towards Real Robot Competition
We have been doing a research on vision-based reinforcement learning and applied the method to build real soccer playing robots towards RoboCup Initiative. In the first stage [Asada et al., 1994a; Asada et al., 1995b], a robot learned to shoot a ball into a goal given the state space in terms of the sizes and the positions of both the ball and the goal in image. As one extension of this first a...
متن کاملAn augmented Lagrangian fish swarm based method for global optimization
This paper presents an augmented Lagrangian methodology with a stochastic population based algorithm for solving nonlinear constrained global optimization problems. The method approximately solves a sequence of simple bound global optimization subproblems using a fish swarm intelligent algorithm. A stochastic convergence analysis of the fish swarm iterative process is included. Numerical result...
متن کاملAn Attribute-Based Image Segmentation Method
This work addresses a new image segmentation method founded on Digital Topology and Mathematical Morphology grounds. The ABA (attribute based absorptions) transform can be viewed as a region-growing method by flooding simulation working at the scale of the main structures of the image. In this method, the gray level image is treated as a relief flooded from all its local minima, which are progr...
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: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201823202018