Image Processing Based Florical Surveillance Using Noise Robust Approach
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2018 by IJETT Journal | ||
| Volume-60 Number-2 |
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| Year of Publication : 2018 | ||
| Authors : Vineet Jain |
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| DOI : 10.14445/22315381/IJETT-V60P216 |
Citation
Vineet Jain "Image Processing Based Florical Surveillance Using Noise Robust Approach", International Journal of Engineering Trends and Technology (IJETT), V60(2),118-121 June 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Applications of enhanced photograph processing and human structure modeling procedures performed mammoth function in advancement of Video surveillance. Right here we are presenting a proposed video surveillance approach for overlapped flower yield detection. In this discussed matter a digital camera is viewed as standing dealing with a mattress of flower for flower yield detection. Range of flower types are maintained together with yellow, purple and crimson petals in each state of affairs respectively for study consideration. For candidature of yieldable some valid parameters are considered such as flower dimension, quantity of petals etc. Various morphological operations viz. dilation, erosion, opening and closing algorithms is utilized after color modeling to remove any type of noise present in the image acquainted from digicam.
Reference
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Keywords
Yield, image processing, segmentation, CHT, erosion, morphological processing.