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Computer detection for the current wide application in the textile industry, using computer digitized fabric image to achieve recognition and analysis. With a positive feedback, distributed computation to solve ant colony algorithm is a combination of new methods of optimization problems, and then proposed an improved ant colony algorithm based on fabric image detection method. The method for the...
In this work, a hybrid approach to analyse optic disc and macula to characterise the normal and abnormal status of the retina are proposed. The retinas with normal and diabetic retinopathy (DR) images were used for this study. The fundus retinal images are subjected to ant colony optimization (ACO) based method to identify optic disc (OD) and Otsu method to further analyse the macula. Parameters such...
A new scheme for texture segmentation based on ant colony systems (ACS) is proposed in this paper. Texture segmentation is one of the important branches in image pattern recognition, which provides usefulness in many applications. Until now, how to find an effective way for accomplishing texture segmentation in practical applications is still a major task. In this paper, we employ wavelet coefficients...
This paper presents a feature extraction method for robotic motion learning that optimizes image resolution to the task, thereby minimizing computation time. It utilizes mean-shift algorithms and principal component analysis for feature extraction, reinforcement learning for motion learning, and trial and error for finding the appropriate resolution. When applied to a manipulator pushing an object,...
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