INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 7, Issue 4, April 2018

Pages: 182-205

Date of Publication: 13-Apr-2018

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Kernal based Integration of Hough Transform and Genetic Algorithm for easy optimization of Two Dimensional Diagrams

Author: Dr. G. S. Katkar, V.R. Nikam

Category: Engineering, Science and Mathematics

Abstract:

Abstract: This paper describes the detecting object based on kernels. Objects are detected by background differencing. We have Integrated with Genetic Algorithm, to analyze the flow of pattern and object. The Diagram integration gives the high cutting edge result for hough transform. Low contrast levels can present problems, leading to poor object segmentation and fragmentation, particularly on older analogue tracking system. The object detection can be done through the kernel, which is interacting with the given image by morphology and result will be identified. The model-free tracking or detecting algorithm described in this paper addresses object fragmentation and the masking induces spatially-smooth similarity. The morphological operators are applied with kernel for detecting the specific objects. The this kernel can thus the predict the border of object, thus counting on the iteration basis