Skip to main content

Review Edge and Texture Fusion for Plant Leaf Classification


 

1. summary

Plants are an important resource in life, which can be developed in the fields of industry, medicine and food. classification plants with automated digital technique, can be done simply by extraction features of the leaves. In this paper, the classification of plants is based forms and texture. Based on the theory of plant taxonomy, plants can be classified based on the shape of the leaves and flowers. However, in general, the classification is based on leaf analysis. Classification based on the shape of the flower is difficult due to the structure of interest is 3D and can only be obtained when the flowers bloom.

Feature extraction used in this paper is the Sobel edge detection and Gabor filters. In edge detection, there are three stages: filtering, enhancement, and detection. Sobel edge detection find the approximate absolute gradient magnitude at each point to detect edges. In Gabor filters have the ability to do the multi-resolution decomposition, and are ideal for segmenting texture in the spatial and spatial-frequency domains. Then the method of feature extraction are tested on classification and regression tree (CART) classifier and the Radial Basis Function (RBF) classifier. Variation of the RBF NN is better in terms of interpolation, by taking input non-linear and linear output. Cost function is usually square error is assumed to be used to evaluate the suitability of parameters. Activation function using a Gaussian function by the equation:
Where X = the input feature vector, L = number of hidden units, uj = average, and Σj = convariance matrix of the Gaussian function.

This paper shows the degree of accuracy RBF classification higher than in CART. The level of accuracy of classification in RBF squared error of 85.93 with 56.2. While the CART rate of accuracy classification of premises 79.26 67.38 squared error. So that RBF has a level squared error is smaller than CART.

2) Excess

  • Gabor filters have the ability to perform multi-resolution decomposition
  • Gabor filters are ideal for texture segmentation because it requires the simultaneous measurement the spatial and spatial-frequency domains.
  • Better in terms of RBF interpolation, taking a non-linear input and provide linear output, thus helping pemetakan complex models.
  • Sobel edge detector find the approximate absolute gradient magnitude at each point to detect edges.

3) Weakness

  • RBF output is limited to the interval (0,1)

4) Suggestions

  • Improving the classification accuracy of the proposed feature reduction technique.


Comments

Popular posts from this blog

New GoPro Hero Plus, There's WiFi and Bluetooth

GoPro camera line has earned refreshment. Company known for its action camera (cam action) has released the entry-level model called Hero +. Hero + is positioned between the previous series, the Hero and Hero + LCD. That is, he has the ability on Hero and minus a few features of the Hero + LCD. Hero + itself has a body with exactly the same design with Hero. The difference, the new product is equipped with WiFi and Bluetooth wireless capabilities. WiFi and Bluetooth in Hero + can be used to access applications on smartphones GoPro. Through the application, users can control the camera, view the results of the captured video, and edit videos directly from the smartphone. the ability of the Hero + made the same as the Hero + LCD, the record 1080p video at 60fps, compared to 30 fps in Hero. The camera also has an 8-megapixel image sensor, up from 5 megapixels in Hero. Ability to dive into the water also reaches 40 meters. The difference with the Hero + LCD, Hero + is not equipped wit...

GIGS, Jadwal Konser Shaggydog

11 Oktober 2015 Kuta Beach, Kuta, Bali 4 Oktober 2015 Single Fin, Uluwatu, Bali 3 Oktober 2015 Bali Wake Park, Benoa, Bali 1 Oktober 2015 The cashew tree, Bingin, Bali 30 September 2015 Lapangan Kala hitam, Subang

Describe feelings, Facebook Presents Emoji Features such as Path

Facebook does not present a Dislike button features, but social networking is confirmed it will bring new features to Like. In addition to drawing the thumb pointed up that has become an icon Like Facebook, users can now express their liking with emoji that express love, laughter, mischievous smile, shock, sadness and anger. The feature is currently being tested in Facebook users in regions of Ireland and Spain, and will soon be rolled to other users around the world. Last month, Facebook CEO Mark Zuckerberg has indicated the presence of new features by saying that users will be able to express emotions more broadly on Facebook.