Category: Classification of segmented image using increased global contrast for paddy plant disease

In this process, the image is divided into smaller parts called segments to make the analysis and further processing easy. An image is subdivided using segmentation. The segmentation of the image divides it into objects or regions. The subdivision of the image depends on the depth of the problem. Segmentation algorithms work basically on two… Continue reading Image segmentation

Color image processing is very important for use of large digital images over websites. This includes image processing and color modeling by digital processing. In this method, HSI color processing is applied to the image to get enhanced image (see Figure 6.4). Based on the color perception, the color model device is chosen as HSI. In… Continue reading Color image processing

In this method, digital images are modified such that they become more acceptable images from the previous ones. With the help of image enhancement more study can be done on the obtained images, for example, detecting noise in the image, improving the brightness of the image and extracting required area from the image.

Image acquisition is obtained from a camera. It is the primary process in digital image processing. Basically, it involves various techniques like scaling, eliminating noise and enhancing the contrast of the image. The subjected leaf images are captured from highest resolution cameras with more pixel values such that obtained image can be processed with various… Continue reading Image acquisition

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… Continue reading Feature extraction

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… Continue reading Need for color image processing

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… Continue reading Digital image representation