Cotton top feature identification based on machine visionimage processing

摘要

Extracting cotton top features for cotton top identification and location based on machine vision & image processing is explored in this paper. We have implemented three different color spaces namely Ycbcr color space, HSI color space, and YIQ color space for extracting cotton top feature from cotton plant images. The Area of the regions is extracted as cotton top feature in this paper. Huge database of images have been used to test the results in different color space models. The paper also shows the comparison of the results obtained by implementing in different color space models. The comparison of the results showed good accuracy in different color space models. Ycbcr color space is considered as the best color space model for extracting cotton top in this paper.