Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{145174,
        author = {SHRUTI SATHYAPALAN},
        title = {Powdery Mildew Detection Using Spatial Domain Technique Of Image Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {7},
        pages = {770-774},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145174},
        abstract = {Managing diseases in plant is a challenging task. Diseases are mostly seen on the leaves or stem or fruits of the plant. Systematic disease identification should be undertaken so that crop yield can be maximized. Some diseases can be handled by the farmer before the disease spreads. Farmers will find automatic disease identification software easier with their occupation. A large of such diseases can be identified using the leaves of the plants. The proposed system automatically detects the patterns of diseases in their early stage. It serves as an efficient disease diagnosis system that focuses on plant disease identification by processing acquired digital images of lemon leaves, grape leaves and apple fruits. Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper will provide an overview of underlying concepts, along with algorithms commonly used for image enhancement. The main aim is to focus on spatial domain techniques for image enhancement, with particular reference to point processing methods and histogram processing.},
        keywords = {Digital Image Processing, Geometric Corrections, Gray Scale Manipulation, Image Enhancement},
        month = {},
        }