Kazim Yildiz

Dimensionality reduction-based feature extraction and classification on fleece fabric images

This work performs dimensionality reduction-based classification on fleece fabric-based images taken by a thermal camera. In order to convert images into the gray level, a principal component analysis-based dimension reduction stage was proposed. In addition, symmetric central local binary patterns were performed with the help of the proposed method by using the images after dimension reduction process. The local binary pattern features preserve local texture features from different kinds of defective image types. The experimental results showed that combined work has a great classification accuracy. The classification accuracy was reported using two different algorithms: Naive Bayes and K-nearest neighbor classifier.

A thermal-based defect classification method in textile fabrics with K-nearest neighbor algorithm:

In this study, fabric defects have been detected and classified from a video recording captured during the quality control process. Fabric quality control system prototype has been manufactured and a thermal camera was located on the quality control machine. The defective areas on the fabric surface were detected using the heat difference occurring between the defective and defect-free zones. Gray level co-occurrence matrix is used for feature extraction for defective images. The defective images are classified by k-nearest neighbor algorithm. The image processing stage consists of wavelet, threshold, and morphological operations. The defects have been classified with an average accuracy rate of 96%. In addition, the location of the defect has been identified and the defect type and location are recorded during the process via specially designed image processing interface. According to the experimental results, the proposed method works effectively.

A novel thermal-based fabric defect detection technique

During the fabric production process, many defects can be occurred stemming from the unevenness in spinning, weaving, finishing processes, or from the raw materials. The fabric quality control process for the detection of these defects is carried out by specialist operators. In this paper, a new method based on the use of thermal camera for detecting these defects from the textile fabric images is presented. For identification process of defective area, fabric images were obtained by a thermal camera during the fabric flow in quality control machine that was specially designed for this experiment. Defective and defect-free regions on fabric surface were determined by thermal camera due to the thermal differences. The mentioned thermal defect detection system will eliminate the worker usage for fabric quality control process, thus it will provide a cost-effective and competitive manufacturing.

Application of image processing for quantization and characterization of fabrics with polymeric coatings

Bu çalışmada gri seviye eş oluşum matrisi ile fraktal boyut kullanılarak pamuk kumaş üzerine uygulanan polimerik kaplama içerisindeki taneciklerin dağılımı incelenmiştir. Kumaş yüzeyine farklı miktarlarda nano boyutta tanecik içeren kaplama formülasyonları uygulanmış daha sonra kumaşın termal gravimetrik yöntem (thermo gravimetric analysis-TGA) ile yanmazlık özellikleri incelenmiştir. Kaplanan kumaş yüzeyleri üzerinden optik mikroskop ile görüntüler elde edilmiş ve bu görüntüler gri seviye ve fraktal boyut özellik çıkarımında kullanılmıştır. Farklı miktarlarda nano tanecik içeren kaplı kumaşların mikroskop görüntüleri, görüntü işleme tekniği ile analiz edilerek nicelendirme ve sınıflandırma işlemleri yapılmıştır. Görüntü işleme ile elde edilen sonuçlar TGA ile bulunan deneysel bulgularla mukayese edilmiştir. Görüntü işleme tekniği ile özellik çıkarılarak en iyi kaplama kalitesine sahip numunenin, %5 montmorillonit (MMT) içeren örnek olduğu tespit edilmiştir. Numuneler arasındaki ortalama sınıflandırma başarısı %92,5 olarak elde edilmiştir. In this study, the dispersion quality of particles on polymeric coating formulations from cotton fabric surfaces was investigated by using gray level co-occurrence matrix and fractal dimension. Coating formulations with various nano particle inclusions were applied on cotton fabrics. The flame retardant property of coated fabrics were examined by thermal gravimetric analysis (TGA). Images from the coated fabric surfaces were obtained by using optical microscopy and then these images were used in gray level and fractal dimension feature extraction processes. The microscopic images of the coated fabrics in various particle amounts were analyzed by using the image processing technique, and then classification and quantization processes were performed. The results of the image processing were compared to the results of TGA. The sample containing 5% montmorillonite (MMT) was found as having the best coating quality level by using feature extraction method in image processing. The average classification performance among all the samples was found as 92.5%.

Retina Fundus Floresan Anjiyografi Görüntülerinde Drüsen Alanlarının Otomatik Tespiti ve Büyüklüklerinin Hesaplanması

Bilgisayar destekli tespit (BDT) sistemleri biyomedikal goruntulerin analizinde siklikla kullanilmaktadir. Bu calismada retinal fundus anjiyografi goruntuleri uzerinde yasa bagli makula dejenerasyonu (YBMD) hastaliginin tespiti icin bir BDT sistemi gerceklestirilmis ve patojenik drusen alanlarinin buyuklugunun hesaplanmasi saglanmistir. Calismanin amaci YBMD hastaliginin goruldugu alanlarin tespitinin ve buyuklugunu hesaplamanin yaninda hastaliga karsi uygulanan tedavinin sonucunun takibini de saglamaktir. Gelistirlen sistemin yardimiyla optalmoloji uzmanlari isaretlenen alanlari kisa surede tespit edebilirler ve hastaligin tedaviye verdigi cevabi basit bir sekilde gozlemleyebileceklerdir. Gelistirilen BDT sistemi 4 asamadan olusmaktadir, a) onisleme asamasi, b) bolutleme asamasi, c) ilgi alani tespiti ve d) oznitelik cikarma ve tespit asamasi. Gelistirlen BDT sistemi 75 goruntuden olusan bir verisetiyle test edilmistir. BST sisteminin elde ettigi sonuclar bir optalmoloji uzmaniyla karsilastirilarak sonuc bolumunde sunulmustur. Gelistirilen BDT sistemi 66 dogru, 9 hatali tespit yaparak %88 dogruluk orani saglamistir.

Hand-held spectrophotometer design for textile fabrics

In this study, a hand-held spectrophotometer was designed by taking advantage of the developments in modern optoelectronic technology. Spectrophotometer devices are used to determine the color information from the optic properties of the materials. As an alternative to a desktop spectrophotometer device we have implemented, it is the first prototype, low cost and portable. The prototype model designed for the textile industry can detect the color tone of any fabric. The prototype model consists of optic sensor, processor, display floors. According to the color applied on the optic sensor, it produces special frequency information on its output at that color value. In Arduino type processor, the frequency information is evaluated by the program we have written and the color tone information between 0-255 ton is decided and displayed on the screen.

Elliptic curve coding technique application for digital signature

An elliptic curve coding technique application is proposed in this study. It is one of the asymmetric coding techniques and so crucial in todays world. The application codes messages between two different console screens by using elliptical curve coding technique. It is created by using C# with the class of Crypto Next Generation CNG which brings into consideration the messaging system as four different security levels. The aim is to use the necessary additional security precautions when using asymmetric techniques. Cryptography techniques are not used for connection, and messaging occurs in security level 1. Security level 2 describes the public channel for the connection between two console screens which is used for sending and receiving key pair; then messaging occurs. Public channel for the connection between two console screens is used for sending and receiving signed key pair and encrypted data; then messaging occurs in security level 3. Security level 4 is the safest one. A private channel for the connection between two console screens is used for sending and receiving a signed key pair and encrypted data, and then messaging occurs. In addition, Advanced Encryption Standard AES technique is used in applications which is one of the symmetric cryptographic techniques for encrypting data. Copyright

A Circuit Design by Using an Infrared Sensor Transmitter and Pic16f628 to Measure the Pulse Rate of the Driver

This study involves a circuit which is made in order to prevent traffic accidents caused by tiredness of the driver and sleepiness. Infrared light emitting diode and infrared phototransistor are used to track driver’s body values during vehicle driving. The pulse value, which can increase or decrease directly proportional to the heart rate, can be controlled with the help of this infrared light emitting diode and infrared phototransistor. Peripheral interface controller is used in the construction of the system. The blood pressure was transformed to an electronic signal with infrared receiver and infrared transmitter by checking the heartbeats. This electronic signal was processed with peripheral interface controller and the system was constructed. In application, the pulse rate of the driver is continuously measured, and these values are shown on a small display permanently. It is installed on a portable steering wheel which can be used in the automotive industry. The process of waking the driver up can be made by raising the voice of music and with the vibration of the seat.

Fiber thickness measurement using image processing

This article consists of a collection of slides from the authors conference presentation. All content is in Turkish with no English abstract provided.

Developing a Security Software for Android-based Systems ("Secand")

Abstract In this study, an application has been developed in the Eclipse environment for android that is used to locate the stolen mobile devices with turned on status. If an user send a Short Message Service (SMS) to our device from another phone as soon as we notice that our device is stolen, the designed application, which the name of “Secand” was given by us, will detect the password within this SMS and understand that our phone is stolen. Our application must be continuously running in the background in order to detect this incoming SMS. After our application detects the password within SMS, it will retrieve Global Positioning System (GPS) coordinates of our device and send these coordinates to us via SMS. Secand must have all GPS and SMS related authorizations for all of these operations. If it is assumed that the thief is on the move after the first GPS coordinates are sent, our application must send the coordinates of device in certain frequencies. This range of time can be set by the user. Such details can be activated optionally by the user after Secand application is installed to the device.