E Yield Prediction Precision of Rose Flower Recognition Using Segmentation

Authors

  • Rupinder Kaur M. Tech. (CS&E) Scholar, CSE Department, Jayoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India

Abstract

Segmentation is a technique to detect an object from any image which is used to determine objects or other pertinent information from digital images. The interactive system use an Hue based Segmentation which is used for recognize image, Gaussian filter for isolate the noise, feature extraction technique, feature comparison and Counting algorithm for Rose Flower recognition. This proposed paper provides an interactive and efficacious technique in counting Rose flower that can extract flower from its boundary with preciseness.
Keyword: Hue based Segmentation, Yield Prediction, Feature Extraction, image processing, object detection and counting algorithm.

Downloads

Published

2015-04-28

How to Cite

Kaur, R. (2015). E Yield Prediction Precision of Rose Flower Recognition Using Segmentation. International Journal of Engineering Technology and Computer Research, 3(2). Retrieved from https://ijetcr.ijmbs.info/index.php/ijetcr/article/view/128

Issue

Section

Articles