Certain Investigations of Guava Leaf Disease Measurement in Necrotic Areas with Image Processing Techniques

Abstract

Guava leaves are healthy indicators for growth in a tree. The visual inspection of diseased area might mislead to inaccuracy for pruning. The leaves of guava are majorly elliptical or oval within the upper surface, and dull green in color. If the leaf diseased, it appears to be red or purple. There are number of pathogen might impact on any parts of its surface. In this paper, a total of four types of diseases namely: canker, dot, mummification and rust considered from the already available data set. The necrotic areas, perimeter, major axis and minor axis measured within the diseased area in its gray scale image. Additionally, shape descriptors used for analyzing the region of interest in diseased areas of dot, mummification and rust images.