Author: haroonkhan

To overcome the drawbacks of the previous approach, a new technique must be implemented to increase precision in disease detection with less computations. For that, K-​​​means clustering and SVM techniques are combined, so this is a hybrid technique. With this technique, accuracy can be achieved to a desired value.

Motivation From literature survey we get an idea that existing technique is less precise in identifying diseases in a plant, so it is necessary to find and implement a new method. Hence, segmented image using finest classifiers are applied to increase the accuracy. Objectives

In this method, the details of the appropriate shape information are expressed in a pattern so that the task of arranging the pattern is made easy. It is used in pattern recognition and a specific form of size reduction [5]. The process of feature extraction is helpful when you need to lessen the number of…

Color images include three-​​​valued information of each pixel and measure the intensity and chrominance of the light. Before applying segmentation to the color image, it should be made precise. The proposed method identifies plant disease by processing the plant leaf image [3]. The leaf of the plant constitutes veins and disease spots with a different…

Image processing is a technique applied to images to get good-​​​quality images and is used to extract the required information from the image. Image processing operation is divided into four categories.

A digital image is a function f(X, Y), where X, Y coordinates are discontinuous in spatial and brightness. It is represented by a set of numbers that can be stored and controlled by a digital computer. It is formed by combing small bits of data called pixels. These pixels are stored in a computer, so…

Binary image pixel contains two grey level values. Grey level “0” constitutes black and grey level “1” constitutes white color. The pixel value is stored in 1-​​​bit format. Binary images are repeatedly produced by a method called thresholding. This thresholding technique is applied to color images or greyscale images, and from these two we obtain…

A color image is a two-​​​dimensional image usually represented by three different colors per pixel. It constitutes 24 bits per image. These 24 bits are divided into 3 equal parts, each of 8 bits which give information of intensity values of red, green and blue with 8 bits of red, 8 bits of green and…

The greyscale images consist of 256 grey tones of colors. The main feature of the greyscale image is the equal distribution of colors red, green and blue. It carries only intensity information of individual pixels as a single sample and is composed of a wide range of shades. It is also called monochrome image. The…

An image conveys information. It consists of prime elements called pixels, where each pixel is represented by some value, with the function of two coordinates X and Y in mathematical representation. An image consists of organized pixels in rows and columns.