Disease Detection of Cotton Leaves Using Advanced Image Processing

In this paper, a research project which was developed to acquire car-park occupancy information using integrated approach of image processing algorithms is

In section 4 the proposed method for the defect segmentation of fruits based on color using K-means clustering technique is presented and discussed.. Section 5

The proposed algorithm is applied on different remote sensing images taken on surface of the earth for identifying minerals. Here we get concentrated on

In this work, we proposed a classification of MR image using the genetic optimized neural network, imposed with sequential forward selection and k-NN

In this paper, a robust 4-layer Convolutional Neural Network (CNN) architecture is proposed for the face recognition problem, with a solution that is capable of handling

In this paper a new approach for block feature based image fusion is implemented using multi wavelet transform. and neural networks and a qualitative analysis has been done for

Motivated with this, we propose, in this paper, the image segmentation and classification done using K-Means and Laplacian of Gaussian filters or Prewitt Filter. Our algorithm has

The main objective of this paper is compare the performance of commonly used classical k-means clustering procedures as well as parallel k-means clustering to realize the