scholarly journals Detection of Avian Pox Disease using K-Means and Svm Classifer

2019 ◽  
Vol 8 (9) ◽  
pp. 3238-3241
Keyword(s):  
Image Processing ◽  
Impulse Noise ◽  
Performance Test ◽  
Digital Images ◽  
Median Filter ◽  
Performance Tests ◽  
Crucial Step ◽  
Avian Pox ◽  
And Performance

This paper discusses about various methods involved in detection of avian pox in the birds using images. Digital images are corrupted while sending and receiving the images because of noisy sensors which degrade the quality of image. Pre-processing becomes an initial and crucial step in image processing to remove the noise and maintain fine details and texture of the image. Pre-processed images can be used for further work. Mean, Median, Weiner, Mean Maximum, Mean Minimum filters are used and performance tests are made using Signal Noise Ratio. Based on the performance test, removal of impulse noise is well done by Median filter and produces the best result when compared to other filters. K-Means clustering and SVM are used for identification of the disease.

scholarly journals Implementasi Metode Super Resolusi Untuk Meningkatkan Kualitas Citra Hasil Screenshot

2020 ◽  
Vol 7 (3) ◽  
pp. 432
Author(s):  
Windi Astuti
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Median Filter ◽  
Super Resolution ◽  
Linear Interpolation ◽  
Resolution Method ◽  
Image Zooming ◽  
Image Enlargement ◽  
Three Stages

Various types of image processing that can be done by computers, such as improving image quality is one of the fields that is quite popular until now. Improving the quality of an image is necessary so that someone can observe the image clearly and in detail without any disturbance. An image can experience major disturbances or errors in an image such as the image of the screenshot is used as a sample. The results of the image from the screenshot have the smallest sharpness and smoothness of the image, so to get a better image is usually done enlargement of the image. After the screenshot results are obtained then, the next process is cropping the image and the image looks like there are disturbances such as visible blur and cracked. To get an enlarged image (Zooming image) by adding new pixels or points. This is done by the super resolution method, super resolution has three stages of completion, first Registration, Interpolation, and Reconstruction. For magnification done by linear interpolation and reconstruction using a median filter for image refinement. This method is expected to be able to solve the problem of improving image quality in image enlargement applications. This study discusses that the process carried out to implement image enlargement based on the super resolution method is then built by using R2013a matlab as an editor to edit programs

scholarly journals Peningkatan pemahaman konsep pubertas dan keterampilan menggunakan pembalut wanita dengan pembelajaran langsung menggunakan metode pemodelan pada siswa SMALB tunagrahita

2019 ◽  
Vol 14 (2) ◽  
pp. 62-69
Author(s):  
Dian Fitria Prihandini ◽  
Sri Joeda Andajani ◽  
Asri Wijiastuti
Keyword(s):  
Mental Retardation ◽  
Action Research ◽  
Test Score ◽  
Performance Test ◽  
Mentally Retarded ◽  
Performance Tests ◽  
Knowledge Test ◽  
Modeling Methods ◽  
Direct Learning ◽  
And Performance

Abstrak: Siswa tunagrahita mengalami kesulitan dalam memahami informasi abstrak tentang konsep pubertas dan langkah – langkah menggunakan pembalut wanita. Penggunaan metode pemodelan menyediakan model atau contoh konkret yang mudah diingat oleh siswa tunagrahita. Penerapan pembelajaran langsung dapat memandu siswa langkah demi langkah untuk memahami suatu konsep dan menguasai suatu ketrampilan. Tujuan penelitian ini adalah untuk mengetahui peningkatan pemahaman konsep pubertas dan ketrampilan menggunakan pembalut wanita dengan pembelajaran langsung menggunakan metode pemodelan pada siswa SMALB Tunagrahita. Penelitian ini merupakan penelitian tindakan kelas (classroom action research) dengan analisis data deskriptif kuantitatif yang dilakukan dalam satu siklus untuk pembelajaran konsep pubertas dan dua siklus untuk pembelajaran ketrampilan menggunakan pembalut wanita. Subjek penelitian adalah siswa SMALB tunagrahita yang berjumlah 6 orang. Metode pengumpulan data dalam penelitian ini adalah dokumentasi, observasi dan tes. Instrumen yang digunakan untuk mengumpulkan data meliputi instrumen pengamatan proses pembelajaran, soal tes pengetahuan dan format penilaian tes kinerja. Ketuntasan belajar klasikal tentang pemahaman konsep pubertas dapat dilihat dari hasil tes pengetahuan siklus I yang menunjukkan 83 % siswa telah mendapatkan nilai tes pengetahuan ≥ 70 %. Peningkatan ketrampilan menggunakan pembalut wanita dapat dilihat dari hasil tes pengetahuan dan tes kinerja. Hasil tes pengetahuan siswa siklus I menunjukkan 67 % siswa mendapatkan nilai tes pengetahuan ≥ 70 % dan meningkat 83 % pada siklus II. Hasil tes kinerja siswa siklus I menunjukkan 67 % siswa mendapatkan nilai tes kinerja ≥ 70 % dan meningkat 100 % pada siklus II. Ketuntasan belajar klasikal siklus II dibandingkan siklus I pada tes pengetahuan meningkat 16 % dan tes kinerja meningkat 33 %. Hasil penelitian menyimpulkan bahwa pemahaman konsep pubertas dan ketrampilan menggunakan pembalut wanita siswa SMALB tunagrahita meningkat dengan pembelajaran langsung menggunakan metode pemodelan.Kata Kunci: Konsep Pubertas, Pembelajaran Langsung, Metode Pemodelan.Abstract: Mentally disabled students have difficulty understanding abstract information about the concept of puberty and the steps to use sanitary napkins. The use of modeling methods provides a concrete model or example that is easily remembered by mentally retarded students. The application of direct learning can guide students step by step to understanding a concept and mastering a skill. The purpose of this study was to determine the increase in understanding of the concept of puberty and the skills to use sanitary napkins with direct learning using modeling methods for students with mental retardation. This research is a classroom action research with the analysis of quantitative descriptive data conducted in one cycle for learning the concept of puberty and two cycles for learning skills using sanitary napkins. The subjects of the study were 6 students with mental retardation. Data collection methods in this study are documentation, observation and tests. The instruments used to collect data include instruments of learning process observation, knowledge test questions and performance test assessment formats. The completeness of classical learning about understanding the concept of puberty can be seen from the results of the cycle I knowledge test which shows 83% of students have obtained a knowledge test score of ≥ 70%. Improving skills in using sanitary napkins can be seen from the results of knowledge tests and performance tests. The students' first cycle knowledge test results show 67% of students get knowledge test scores ≥ 70% and increase 83% in cycle II. The results of the first cycle of student performance tests showed 67% of students got a performance test score of ≥ 70% and increased 100% in cycle II. Classical learning completeness cycle II compared to cycle I on knowledge tests increased 16% and performance tests increased 33%. The results of the study concluded that understanding the concept of puberty and the skills to use sanitary napkins for mentally retarded students increased with direct learning using modeling methods.Keywords: Concept of Puberty, Direct Learning, Modeling Methods.

scholarly journals Design and Performance Test of Rubber Grinding Machine

2019 ◽  
Vol 3 (2) ◽  
pp. 299-308
Author(s):  
Sri Aulia Novita ◽  
Hendra Hendra ◽  
Jamaluddin Jamaluddin ◽  
Muhammad Makky ◽  
Khandra Fahmi
Keyword(s):  
Performance Test ◽  
Average Rate ◽  
National Standard ◽  
Natural Coagulant ◽  
Processing Equipment ◽  
Liquid Smoke ◽  
Processed Material ◽  
And Performance ◽  
Grinding Machine

The quality of rubber processed materials, that is produced by the farmer is generally low and can be seen from their colour,  pollutants levels, foul odour and the very cheap price. To improve the quality of the rubber should be done both in terms of its treatment and processing equipment. The main objective of this research is to enhance and improve the quality of farmer's rubber processed materials by using natural coagulant which liquid smoke to agglomerate the rubber, and designing of rubber grinding machine. The component of rubber grinding machine including hopper, regulating entry materials, three rollers, pulleys and belt, outlet, gears, engine, regulating the thickness and chassis. In this research, the thickness rubber after grinding is 3-5 mm accordance with Indonesian National Standard rubber. Processed material rubber produced is white and no pollutants. The coagulant used was liquid smoke with a concentration of 10 -20%, where this addition affects the agglomeration speed of rubber and smelled slightly of smoke. The average rate of Feed is 48.58 kg / h, a capacity of the machine is 37.40 kg/hr and cost of operation is Rp. 650 / kg.

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.

scholarly journals An Extensive Review on Image Segmentation Techniques

2021 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Kamlesh Sharma ◽  
Nidhi Garg
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Frequency Domain ◽  
Image Enhancement ◽  
Digital Images ◽  
Extensive Review ◽  
Current Image ◽  
Segmentation Image

Image processing is the use of algorithms to perform various operations on digital images. The techniques that are explained further are image segmentation and image enhancement. Image Segmentation is a method to partition an image into multiple segments, to change the presentation of an image into something more meaningful and easier to analyze. The current image segmentation techniques include region-based segmentation and edge detection segmentation. Image Enhancement is the process of improving the quality of image. Under this section there are two broad divisions- Spatial Domain Technique and Frequency Domain Technique.

scholarly journals Improving the Quality of Digital Images Using the Median Filter Technique to Reduce Noise

SinkrOn ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 143 ◽  
Author(s):  
Annas Prasetio ◽  
Paska Marto Hasugian
Keyword(s):  
Digital Images ◽  
Color Image ◽  
Median Filter ◽  
Image Data ◽  
Original Image ◽  
Matrix Kernel ◽  
Filter Technique ◽  
Image Histogram ◽  
Point Line

The combination of point, line, shape and color elements combined to create a physical imitation of an object is called an image. The arrangement of the box elements in the image forms pixels or matrices. each image experiences degradation or loss of quality called noise. The effect of gaussian noise is the number of colored dots that are equal to the percentage of noise. This study raises the topic of improving the quality of digital images using median filter techniques to reduce noise. In this study using color image data (Red Green Blue) as test data and then converted into grayscale images to determine the gray degree of the image. The grayscale image is stored in the database. Then noise is generated by using random numbers. Noise in the form of impulse can be positive or negative in the form of adding pixel values to the original image, or it can reduce the value of the original image. The noise type used is salt & pepper. Gray degrees 0-255 spread. Can be calculated through image histograms. To reduce noise the median filter technique is used. Image histogram as a measure of the spread of numbers from the median filter. The result is a median filter can reduce noise salt and pepper by using a matrix kernel.

Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration

2004 ◽  
Vol 16 (2) ◽  
pp. 333-354 ◽  
Author(s):  
Tzu-Chao Lin ◽  
Pao-Ta Yu
Keyword(s):  
Support Vector Machines ◽  
Image Restoration ◽  
Impulse Noise ◽  
Median Filter ◽  
Support Vector ◽  
New Approach ◽  
Median Filters ◽  
Vector Machines ◽  
Impulse Detector

In this letter, a novel adaptive filter, the adaptive two-pass median (ATM) filter based on support vector machines (SVMs), is proposed to preserve more image details while effectively suppressing impulse noise for image restoration. The proposed filter is composed of a noise decision maker and two-pass median filters. Our new approach basically uses an SVM impulse detector to judge whether the input pixel is noise. If a pixel is detected as a corrupted pixel, the noise-free reduction median filter will be triggered to replace it. Otherwise, it remains unchanged. Then, to improve the quality of the restored image, a decision impulse filter is put to work in the second-pass filtering procedure. As for the noise suppressing both fixed-valued and random-valued impulses without degrading the quality of the fine details, the results of our extensive experiments demonstrate that the proposed filter outperforms earlier median-based filters in the literature. Our new filter also provides excellent robustness at various percentages of impulse noise.

Impulse Noise Filtering

2016 ◽  
pp. 102-115
Author(s):  
Abhijit Chandra ◽  
Srideep Maity
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Digital Images ◽  
State Of The Art ◽  
Noise Filtering ◽  
Two Dimensional ◽  
Design And Development ◽  
Image Details ◽  
Filtering Techniques

Digital images are often corrupted by various types of noises amongst which impulse noise is most prevalent. Impulse noise appears during transmission and/or acquisition of images. Intrusion of impulse noise degrades the quality of the image and causes the loss of fine image details. Reducing the effect of impulse noise from corrupted images is therefore considered as an essential task to be performed before letting the image for further processing. However, the process of noise reduction from an image should also take proper care towards the preservation of edges and fine details of an image. A number of efficient noise reduction algorithms have already been proposed in the literature over the last few decades which have nurtured this issue with utmost importance. Design and development of new two dimensional (2D) filters has grown sufficient interest amongst the researchers. This chapter attempts to throw enough light on the advancement in this field by illustratively describing existing state-of-the-art filtering techniques along with their capability of denoising impulse noises.

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