Before revision:  Here, we present a pixel color- and coordinate-based K-Means clustering (PCC-KMC) algorithm that is capable of RGB image analysis based on color (normalized RGB values) and spatial information (column and row coordinates) of pixels for quantification of rice sheath blight (ShB) disease .
After revision:  Here, we present a pixel color- and coordinate-based K-Means clustering (PCC-KMC) algorithm utilizing Mahalanobis metric aimed at accurate segmentation of symptomatic and non-symptomatic regions within rice stem images .