scholarly journals Automatic Pavement Cracks Detection using Image Processing Techniques and Neural Network

2018 ◽  
Vol 9 (9) ◽  
Author(s):  
Nawras Shatnawi
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Machine Learning and Fuzzy Logic based Detection, Classification and Grading of Leaf Disease in Plants

2020 ◽  
Vol 9 (7S) ◽  
pp. 38-42
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Image Processing ◽  
Fuzzy Logic ◽  
Learning Algorithm ◽  
Expert Advice ◽  
Support Vector ◽  
Machine Learning Algorithm ◽  
Image Processing Techniques ◽  
Processing Techniques

India is an agricultural country where most of people are depends on the agriculture. When Plants are infected by the virus, fungus and bacteria, they are mostly seen on leaves and stems of the plants. Because of that, plants production is decreased also economy of the country is decreased. The farmer has to identify the disease and decide which pesticide will be used to control the disease in plants. To finding out which disease affect the plants, the farmer contacts the expert for the solution. The expert gives the advice based on its knowledge and information but sometimes seeking the expert advice is time consuming, expensive and may be not accurate. So, to solve this problem, the image processing techniques and Machine Learning algorithm like Neural Network, Fuzzy Logic and Support Vector Machine gives the better, accurate and affordable solution to control the plants disease than manual method.

Use of Deep Neural Network for Optical Character Recognition

2020 ◽  
pp. 219-254
Author(s):  
Abhishek Das ◽  
Mihir Narayan Mohanty
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Comparative Study ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Deep Neural Network ◽  
Detailed Review ◽  
Image Processing Techniques ◽  
Optical Character ◽  
Processing Techniques

In this chapter, the authors have given a detailed review on optical character recognition. Various methods are used in this field with different accuracy levels. Still there are some difficulties in recognizing handwritten characters because of different writing styles of different individuals even in a particular language. A comparative study is given to understand different types of optical character recognition along with different methods used in each type. Implementation of neural network in different forms is found in most of the works. Different image processing techniques like OCR with CNN, RNN, combination of CNN and RNN, etc. are observed in recent research works.

scholarly journals Klasifikasi Topeng Cirebon menggunakan Metode Convolutional Neural Network

2021 ◽  
Vol 8 (1) ◽  
pp. 163-169
Author(s):  
Felix Indra Kurniadi
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Cultural Heritage ◽  
Convolutional Neural Network ◽  
Automatic Identification ◽  
Intangible Cultural Heritage ◽  
Image Processing Techniques ◽  
The Third ◽  
The Government ◽  
Processing Techniques

Cirebon mask is one of the intangible cultural heritage in Indonesia. It is one of the prominent cultural assets from Cirebon and becoming one of the identity Cirebon culture. However, the current condition people tend to forget the cultural asset and lack of help from the government makes the Cirebon mask become the third-rate assets. Our concern lays on the extinction of this Mask. We want to implement digitation and automatic identification using image processing techniques. In this paper, we applied the Convolutional Neural Network for Cirebon Mask classification.

scholarly journals Image De-Blurring Using the Least Square Filter Technique in A Neural Network

2020 ◽  
Vol 55 (4) ◽  
Author(s):  
Abbas Akram Khorsheed ◽  
Muna Abdul Hussain Radhi
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Digital Image Processing ◽  
Wavelet Decomposition ◽  
Least Square ◽  
Decomposition Technique ◽  
Image Processing Techniques ◽  
The Neural Network ◽  
Image Blurring ◽  
Processing Techniques

Image restoration is one of the digital image processing techniques used to repaint or restore image information. One common problem encountered during restoration is image blurring. To solve this problem, a new de-blurring technique was proposed to reduce or remove image blurring. The proposed filter was designed using the least square interpolation calculation controlled by the neural network to select the blurred pixels. The wavelet decomposition technique was used to improve the performance of the proposed filter, which showed good results for fully and partially blurred regions in images.

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