Loading...
Please wait, while we are loading the content...
Similar Documents
Makalah Tugas Akhir Klasifikasi Spesies Kupu-kupu Menggunakan Ekstraksi Glcm Dan Algoritma Klasifikasi K-nn
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nuswantoro, Dian Nakula, Jl. |
| Copyright Year | 2015 |
| Abstract | ABSTRAK With the development of technology, people wanted machines (computer) can recognize images like human vision. The way to recognize the image is to distinguish the texture of the image. Each image has a unique texture that can be distinguished from the other image, the characteristics are the basis for the classification of image based on texture. There are several methods that can be used to obtain the characteristic texture of an image, one of which is the method GLCM. Gray Level Co-Occurrence Matrix-GLCM is a method to obtaining the characteristics of the texture image by calculating the probability of adjacency relationship between two pixels at a certain distance and direction. The parameters or characteristics of texture obtained from GLCM methods include Contrast, Homogeneity, Energy, Correlation. Result of extraction these characteristics are then used to process the classification by using the k-Nearest Neighbour (k-NN) which determines the classification results based on the number of nearest neighbors. In this research, researchers analyzed the grouping of images based on certain criteria (characteristics of every species of butterfly) with a varying viewpoint image and compare the level of accuracy of the masking image with the image of a non-masking and accuracy of analysis results using two species grouping up to 10 species. image that has been through the process of masking can increase the level of accuracy is better than non-masking image. The highest result grouping, parameter d = 1, θ = 45 °, the value of k = 3 using two species results reached 88% accuracy. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.dinus.ac.id/16490/1/jurnal_15430.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
