出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Image segmentation is the most challenging issue in computer vision applications. And mostdifficulties for crops management in agriculture are the lack of appropriate methods fordetecting the leaf damage for pests’ treatment. In this paper we proposed an automatic methodfor leaf damage detection and severity estimation of coffee leaf by avoiding defoliation. Afterenhancing the contrast of the original image using LUT based gamma correction, the image isprocessed to remove the background, and the output leaf is clustered using Fuzzy c-meanssegmentation in V channel of YUV color space to maximize all leaf damage detection, andfinally, the severity of leaf is estimated in terms of ratio for leaf pixel distribution between thenormal and the detected leaf damage.The results in each proposed method was compared to the current researches and the accuracyis obvious either in the background removal or damage detection.
关键词：Coffee rust; LUT; Background removal; Image segmentation; Color and luminance; Gamma;correction
