scholarly journals Development of color guides to evaluate the maturity of cacao clones by digital image processing

2021 ◽  
Vol 51 ◽  
Author(s):  
Maria Cristina García-Muñoz ◽  
Martha Patricia Tarazona-Díaz ◽  
Nixon Andres Meneses-Marentes ◽  
Gabriela González-Sarmiento ◽  
Ana Sofía Pineda-Guerrero ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Raw Material ◽  
Maturity Index ◽  
Maturity Stage ◽  
Material Homogeneity ◽  
By Products ◽  
Production Industry

ABSTRACT Raw material homogeneity is one of the most requested characteristics in any production industry, and the cacao industry is no exception. However, there are many factors that affect the final quality of fruits, among them the variety and maturity stage. The present study aimed to create color tables for evaluating the maturity index of the ICS06, CCN51 and EET8 cacao clones, using digital image processing, in order to contribute for the quality and final homogeneity of the fruits and their by-products.

scholarly journals Quality Evaluation of Melinjo Seeds (Gnetum gnemon L.)Using Digital Image Processing

2018 ◽  
Vol 7 (2) ◽  
pp. 106 ◽  
Author(s):  
Slamet Widodo ◽  
Muhammad Kalili
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Quality Evaluation ◽  
Seed Extract ◽  
Raw Material ◽  
Key Factors ◽  
Gnetum Gnemon ◽  
Lighting Systems

Some studies show that melinjo (Gnetum gnemon L.) seed extract contains various active ingredients that are beneficial to human health; even it has been commercialized as a health supplement product. Quality of seeds as raw material becomes one of key factors that determine the quality of product derived from melinjo seed extract. Therefore sorting becomes a critical process. However the sorting of good quality and broken seeds (moldy, chalky and perforated/infected insects) is still done manually with visual observations that tend to be inaccurate and inconsistent. This study aims to develop a new method for evaluation of quality of melinjo seeds based on digital image processing. The image is taken using two lighting systems i.e. frontlight and backlight. The results show that using color features (RGB and HSV) and certain threshold values, good quality and broken seeds can be distinguished by 92.5% and 100% accuracy using frontlight and backlight image respectively. It indicates that digital image processing can be used as an alternative for quality evaluation of melinjo seed.

scholarly journals The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method

2020 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Ayu Fitri Amalia ◽  
Widodo Budhi
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Neutron Beam ◽  
Digital Radiography ◽  
Digital Image ◽  
Digital Images ◽  
Neutron Radiography ◽  
Detection Methods

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic, and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection methods used in this study were Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny technique provided edge gradient orientation which resulted in a proper localization.

Digital image processing for evaluating the quality of the film of a holographic plate

1995 ◽  
Author(s):  
Chern-Sheng Lin ◽  
I-Liang Chih ◽  
Hung J. Shieh ◽  
Rang-Seng Chang
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image

scholarly journals Shrimps clusterization by size using digital image processing with CCA and DBSCAN

2020 ◽  
Vol 8 (2) ◽  
pp. 106-112
Author(s):  
Adri Priadana ◽  
Aris Wahyu Murdiyanto
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Digital Image Processing ◽  
Digital Image ◽  
Spatial Clustering ◽  
Digital Camera ◽  
Harvest Time ◽  
Connected Component ◽  
Average Accuracy

The quality of farmed shrimps has several criteria, one of which is shrimp size. The shrimp selection was carried out by the contractor at the harvest time by grouping the shrimp based on their size. This study aims to apply digital image processing for shrimp clustering based on size using the connected component analysis (CCA) and density-based spatial clustering of applications with noise (DBSCAN) methods. Shrimp group images were taken with a digital camera at a light intensity of 1200-3200 lux. The clustering results were compared with clustering from direct observation by two experts, each of which obtained an accuracy of 79.81 % and 72.99 % so that the average accuracy of the method was 76.4 %.

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.

Local Statistic Enhancement of Digital Image Based on Genetic Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 1836-1840 ◽  
Author(s):  
Yong Zhuo Wu ◽  
Zhen Tu ◽  
Lei Liu
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Experimental Results ◽  
Computer Application ◽  
Novel Method ◽  
New Research

Iamge repair using the digital image processing technology has become a new research point in computer application. A novel method of local statistic enhancement based on genetic algorithm is proposed in this paper for the image enhancement. The modified amplified function are used as the jugement criterion, and the optimal paremeters are searched by the genetic algorithm. Experimental results show that the quality of images is improved dramatically by using this method.

scholarly journals Performance Analysis of Different Filters for Digital Image Processing

2021 ◽  
Vol 12 (2) ◽  
pp. 2572-2576
Author(s):  
Ch. Kavya , Et. al.
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Pattern Recognition ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Frequency ◽  
Satellite Remote Sensing ◽  
Low Frequency ◽  
Linear Filters

Digital image processing is one of the drastically growing areas used in various real- time industries like medical, satellite, remote sensing, and pattern recognition. The output of the image processing depends on the quality of the image. Filters are used to modify the images, such as removing the noise and smoothing the images. It is essential to suppress the high- frequency values in the image for smoothening and improving the low-frequency values to enhance the image of strengthening else it doesn't provide good output. This paper discussed various filters and their functionalities concerning digital image processing. Here linear, as well as non-linear filters, are presented. It is easy to decide about the better filter for improving the image processing output from the discussion.

Application of Digital Image Processing and Recognition Technology on Screen Printing

2012 ◽  
Vol 429 ◽  
pp. 116-120 ◽  
Author(s):  
De Yu Chen ◽  
Yue Qin Hang ◽  
Xiao Cheng Su ◽  
Xue Fang Zhu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Template Matching ◽  
Screen Printing ◽  
Economic Benefits ◽  
Print Quality ◽  
Application System ◽  
Infiltration Excess

The digital image processing and recognition technology is applied to the detection of the print quality of screen printing, which is designed to implement the application system of some functions in screen printing, such as the acquisition of multiple printing images, the feature extraction and the matching to the quality control processing. In the RG Chromaticity space, the template matching method is used to design the relevant algorithms and realize fast real-time detection of some problems related to the image dislocation, leakage India, infiltration excess and uneven quality color. Having been tested and run, the method appears good quality monitoring results and economic benefits.

scholarly journals SISTEM CERDAS MENDETEKSI KUALITAS GULA MERAH MENGGUNAKAN METODE NEAREST MEAN CLASSIFIER (NMC)

2019 ◽  
Vol 5 (3) ◽  
pp. 149
Author(s):  
Bayu Rianto , Azhari
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Actual State ◽  
Brown Sugar ◽  
Smart Systems ◽  
Class B ◽  
Development And Utilization

The development and utilization of digital images has developed rapidly. At present, digital image processing capabilities and techniques make it possible to be used more effectively and efficiently in identifying quality classes of brown sugar. One of them is the concept of Smart Systems with the use of Matlap-based applications so that public recognition of the importance of selecting good quality brown sugar can be a little more efficient. Digital image processing capabilities are supported by the concept of pattern recognition and classification, it is expected that the quality classification of brown sugar based on RGB color variables (Red, Green, Blue) and texture variables (energy, contrast, correlation and homogeneity) with the help of computers can be realized. To get a solution of the problem of classification and determine the accuracy of the classification of the quality of brown sugar into a certain class, then we need a method that is able to classify the quality of brown sugar brown sugar into class A (very good), class B (good) and class C (not good ). The method is expected to also be able to handle the problem of the accuracy of the classification of brown sugar into certain quality classes according to the actual state of brown sugar.

scholarly journals Comparative study of image enhancement techniques using histogram equalization on degraded images

2018 ◽  
Vol 7 (2.8) ◽  
pp. 468 ◽  
Author(s):  
Shalika Arora ◽  
Megha Agarwal ◽  
Veepin Kumar ◽  
Divya Gupta
Keyword(s):  
Image Processing ◽  
Comparative Study ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Histogram Equalization ◽  
Vital Role ◽  
Enhancement Technique ◽  
Degraded Images

Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images.Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement. 

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