TAILIEUCHUNG - Outdoor scene segmentation and object classification using cluster based perceptual organization

This paper proposes the perceptual organization model to perform the above task. This paper addresses the outdoor scene segmentation and object classification using cluster based perceptual organization. Perceptual organization is the basic capability of the human visual system is to derive relevant grouping and structures from an image without prior knowledge of its contents. | ISSN:2249-5789 Neha Dabhi et al , International Journal of Computer Science & Communication Networks,Vol 3(4),240-264 Outdoor scene segmentation and object classification Using cluster based perceptual Organization Neha Dabhi#1 . Student,VTP Electronics & communication Dept., *2 Associate Professor,VTP Electronics & communication Dept., Chaotar Instiute of Science & Technology, Chaotar Instiute of Science & Technology, Changa,Anand, India ndabhi2@ Changa,Anand, India mewadahiren@ ABSTRACT: Humans may be using high-level image understanding and object recognition skills to produce more meaningful segmentation while most computer applications depend on image segmentation and boundary detection to achieve some image understanding or object recognition. The high level and low level image segmentation model may generate multiple segments for the single object within an image. Thus, some special segmentation technique is required which is capable to group multiple segments and to generate single objects and gives the performance close to human visual system. Therefore, this paper proposes the perceptual organization model to perform the above task. This paper addresses the outdoor scene segmentation and object classification using cluster based perceptual organization. Perceptual organization is the basic capability of the human visual system is to derive relevant grouping and structures from an image without prior knowledge of its contents . Here, Gestalt laws (Symmetry, alignment and attachment) are utilized to find the relationship between patches of an object obtained using K-means algorithm. The model mainly concentrated on the connectedness and cohesive strength based grouping. The cohesive strength represents the nonaccidental structural relationship of the constituent parts of a structured part of an object. The cluster based patches are classified using boosting technique. Then the perceptual organization based model .

• Cơ khí - Chế tạo máy
• International Journal of Computer Science & Communication Networks
• Outdoor scene segmentation and object classification
• Cluster based perceptual organization
• The human visual system
• The outdoor scene segmentation
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