Addition of image processing techniques to our AI Classifier in order to investigate the Quality of utensils by Composition Analysis

2021 ◽  
Author(s):  
Sneha Chandra ◽  
Maneet Kaur
Keyword(s):  
Image Processing ◽  
Composition Analysis ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Clay-Based Brick Porosity Estimation Using Image Processing Techniques

2019 ◽  
Vol 29 (1) ◽  
pp. 1226-1234
Author(s):  
Safa Jida ◽  
Hassan Ouallal ◽  
Brahim Aksasse ◽  
Mohammed Ouanan ◽  
Mohamed El Amraoui ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Computer Vision ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Porosity Estimation ◽  
Microscopy Images ◽  
Scanning Electron

Abstract This work intends to apprehend and emphasize the contribution of image-processing techniques and computer vision in the treatment of clay-based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with “kill or cure” effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-based porosity estimation.

scholarly journals Dynamic Analysis of Mechanical Systems Using Image Processing

2021 ◽  
Vol 15 ◽  
pp. 56-60
Author(s):  
Juan D. Pérez ◽  
Diego A. Hincapié ◽  
Jonathan A. Graciano
Keyword(s):  
Image Processing ◽  
Correct Operation ◽  
Image Processing Techniques ◽  
Cad Cam ◽  
Substantial Progress ◽  
Object Of Study ◽  
Processing Techniques ◽  
Type Of Failure ◽  
Dynamic Variables

Thanks to the fact that nowadays substantial progress has been made in new ways of analyzing our environment using image processing techniques, it is imperative to highlight the importance of applying this methodology to mechanisms, which are our object of study and these elements are present in various sectors, such as industrial, automotive, academic, etc. In the previously mentioned sectors, the mechanisms are a fundamental element for the correct operation of the devices that each sector has. Therefore, knowing the dynamic behavior of the mechanisms is an essential task, since, if any type of failure occurs, it could cause damage to an entire process. The article proposes to develop a methodology that allows the analysis of dynamic variables in different types of mechanisms, through the use of image processing techniques specifically the detection, filtering and tracking of objects, using filters such as the Gaussian filter and background subtraction in order to improve the quality of the information to be analyzed. The results obtained through the application of the proposed methodology were compared with a simulation of a CAD/CAM/CAE software, in this case Siemens NX 12®, these results were satisfactory under certain criteria that will be exposed in the analysis section, thanks to this it can be affirmed that the proposed methodology is acceptable at the time of knowing the dynamic variables in mechanisms

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

Mathematical models for some problems in textile engineering and its corresponding discussions

2014 ◽  
Vol 05 (02) ◽  
pp. 1350030
Author(s):  
Li Zhang ◽  
Xinhua You ◽  
Jun Chen ◽  
Liang Zhang
Keyword(s):  
Image Processing ◽  
Cluster Analysis ◽  
Textile Industry ◽  
Programming Algorithm ◽  
Support Vector ◽  
Support Vector Machine Algorithm ◽  
Image Processing Techniques ◽  
Chinese Industry ◽  
Processing Techniques

Textile industry is very important to the development of Chinese industry and economy. Image processing techniques are beneficial to improve the quality of cotton goods. Suitable blending ratio of yarn is good for it. It is significant to measure the blending ratio of yarn in the practice of textile engineering. Combined with results done by other scholars, this paper uses the concepts of acreage index, abnormity index and fluctuation index. Based on these morphologic indices, it is convenient to construct corresponding eigenvector and to discuss useful mathematical method for the cluster analysis during the measurement of the blending ratio. This paper also sets up some kinds of nonlinear optimization model for the problem. Using classical integer programming algorithm, support vector machine algorithm and genetic algorithm to the problem, we get fine results for cluster analysis. Finally, we give out another problem of image processing and have some discussions about it.

scholarly journals Research on Germination Prediction and Varietal Classification for Rice Seed Quality

2019 ◽  
Vol 9 (1) ◽  
pp. 3956-3959
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Seed Quality ◽  
Germination Rate ◽  
Rice Seed ◽  
Image Processing Techniques ◽  
Varietal Classification ◽  
Processing Techniques

In agriculture most of the task done manually by experienced persons. They made decision on the basis of what they feel and see. The prediction result also not giving expected results. For getting the best yield the selection of quality seed is mandatory. But the manual analysis cannot assure the best quality seed. Rice Seed quality estimation can be done by considering the textural features of rice seed image. For this we are going to propose Digital Image processing Techniques to classify and grade the quality of the seed. There are number of digital image processing techniques proposed for classifying the variety of seed and predicting the germination rate of seed. In this paper we are going to summarize the hardware setup, varieties, features extracted, methods or algorithms used and result they obtained. In future we are going to propose a simple grading system for the rice seed quality system can be used by formers.

scholarly journals Identification of Feasibility of Canned Based Foods Image Processing Techniques Using Thresholding

2021 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Ilhamsyah Muhammad Nurdin ◽  
Abdul Fadlil
Keyword(s):  
Image Processing ◽  
Visual Observation ◽  
Android Application ◽  
File Transfer Protocol ◽  
File Transfer ◽  
Canned Food ◽  
Image Processing Techniques ◽  
Accuracy Level ◽  
Processing Techniques

Eye sight is sometimes deceptive, especially in determining the quality of a canned food, so it is necessary to use technology that resembles human visual observation, namely in the form of an application. The process to detect the quality of canned food uses image processing methods, especially thresholding, which is then designed so that the application is able to determine the quality of canned food with the help of the MATLAB GUI which detects and then sends it from making the MATLAB GUI on the Laptop to Android using FTP (File Transfer Protocol). At the end of the process, it is marked with known good and bad quality of canned food with an android application that has been specially designed with an accuracy level of 84% with a thresholding value of 70.

scholarly journals Agriculture Crop Leaf Disease Detection using Image Processing

2021 ◽  
Vol 10 (7) ◽  
pp. 110-114
Author(s):  
Venkatesh T. ◽  
Prathyush K. ◽  
Deepak* S. ◽  
U.V.S.A.M. Preetham
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Plant Diseases ◽  
Huge Amount ◽  
Or Efficiency ◽  
Plant Leaf ◽  
Image Processing Techniques ◽  
The One ◽  
Processing Techniques

As we all know that the Agriculture plays an important role in the Indian economy and majority of the individuals depends upon it and offers huge amount of the crops through the worldwide. The Illnesses in these crops are generally on the leaf's influences on the decrease of both quality and number of horticultural items. We should know the disease of the crop correctly to solve the problem. There will be a huge loss if we do not find the disease and treat properly. The view of natural eye isn't so a lot more grounded in order to watch minutevariety in the contaminated piece of leaf. In thisreport, we are giving a programming answer fornaturally identify and arrange plant leaf diseases. In this we are utilizing picture preparing methods to characterize alignments and rapidly finding can be completed according to infection. This methodology will upgrade the efficiency of yields in a efficient way and can get us the accurate disease which helps us to find the solution for the diseased crop. It observes a few stages with the help of these pictures obtaining, picture pre-handling, division, highlights extraction and genetic algorithm-based grouping. Relating to the cultivation of land, efficiency is something on which economy exceptionally depends. This is the one of the reasons that sickness identification in plants assumes a significant job in the agriculture business field, as having the illness in plants are very normal. In an event that legitimate consideration isn't taken here, at that point it causes true consequences for plantsand because of which quality of each and every item, amount or efficiency is being influenced. The recognition of plant infections through some programmed step is gainful as it avoids a huge work of checking in huge homesteads of harvests. At the beginning of the crop harvesting step itself, it shows the side effects or the symptoms of the diseases. This proposed method surfaces into a new programmed manner by distinguishing the effects of the crop plant diseases. We are using some image processing techniques for the identification of the disease. Additionally, it watches the review on the various diseases order strategies which also can be utilized for plant leaf alignment. Picture division, which is a significant viewpoint for sickness identificationin a plant leaf alignment, is finalized by the input RGB mask images.

scholarly journals Detection and Restoration of Cracked Digitized Paintings and Manuscripts using Image Processing - A Survey

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Nawafil Abdulwahab Ali ◽  
Imad Fakhri Taha Al Shaikhli
Keyword(s):  
Image Processing ◽  
Image Processing Techniques ◽  
Original State ◽  
Drying Up ◽  
Processing Techniques

Abstract— The restoration of paintings and manuscripts is defined as the process of restoring old and damaged artworks and documents exhibiting cracks. Cracks are caused by three factors; aging, drying up of painting material, and mechanical. It is necessary that cultural heritages be restored to their original or a near-original state. To enhance the overall quality of the image, there are different techniques and methodologies that can be used for conservation and restoration. The main objective of this study is to analyse techniques and methodologies that have been developed for the detection, classification of small patterns, and restoration of cracks in digitized old painting and manuscripts. The purpose of this research is to present previous works on detection and restoration of cracks using image processing techniques and methodologies.

scholarly journals Pepper Powder Quality Identification System Based on Silent Angle Imagery

2020 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Muhaimin Gusrin ◽  
Abdul Fadlil
Keyword(s):  
Image Processing ◽  
Research Method ◽  
Identification System ◽  
Original Image ◽  
Image Processing Techniques ◽  
Different Types ◽  
Angle Method ◽  
Pepper Powder ◽  
Processing Techniques

This research identifies the quality of pepper powder using a computer automatically. The research method uses the stationary angle method. The design of this system is done by image processing techniques. The image of ground pepper that has been taken is then cropped to remove the unused portion of the image. The next step is to convert the original image into grayscale and then convert it to binary. The parameter of the stationary angle is when it has an angle of less than or equal to 38 °, the ground pepper includes fine ground pepper. If the angle ranges from 38o to 40o, including medium powdered pepper, and if the angle is greater than 41o, including the texture of coarse pepper powder. Testing 3 different types of samples obtained 40 mesh is 35.18 o; for 20 mesh is 40.46o and 10 mesh is 41.66o. Therefore, it can be seen that the smaller the texture of the size of ground pepper, the finer the quality.Penelitian ini mengidentifikasi kualitas lada bubuk menggunakan komputer secara otomatis. Metode penelitian menggunakan metode sudut diam. Perancangan sistem ini dilakukan dengan teknik pengolahan citra. Citra lada bubuk yang telah diambil selanjutnya di-cropping untuk menghilangkan bagian citra yang tidak terpakai. Langkah selanjutnya adalah citra hasil asli tersebut dikonversi dalam bentuk grayscale dan selanjutnya dikonversi dalam bentuk biner. Parameter sudut diam adalah ketika memiliki sudut kurang dari atau sama dengan 38o, lada bubuk tersebut termasuk lada bubuk yang halus. Jika sudutnya berkisar antara 38o sampai 40o maka termasuk lada bubuk sedang, dan jika sudutnya lebih besar dari 41o maka termasuk tekstur lada bubuk kasar. Pengujian 3 jenis sampel yang berbeda didapatkan 40 mesh adalah 35,18o; untuk 20 mesh adalah 40,46o dan 10 mesh adalah 41,66o. Oleh karena itu dapat diketahui bahwa semakin kecil tekstur ukuran lada bubuk, semakin halus kualitasnya.

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