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1

Morphological sharpening of color images

Skoneczny S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2016

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Vol. 64, nr 1

103--113

EN

This paper presents a novel approach to morphological contrast sharpening of image using the multilevel toggle operator. The concept presented here is a generalization of toggle based contrast operator for gray-level images. The multilevel toggle operator is used to enhance the contrast of multivalued images. In order to perform necessary morphological operations the modified pairwise ordering (MPO) algorithm is proposed. It gives the total order of color pixels. For comparison four other ordering methods are used. The main advantage of the proposed sharpener is its significant contrast enhancing ability when using MPO. Theoretical considerations as well as practical results are shown. Experimental results show its applicability to low-contrast color images.

2

New Method of Fabric Wrinkle Measurement Based on Image Processing

Liu C., Zhang C.

Fibres & Textiles in Eastern Europe

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2014

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Vol. 22, no. 1 (103)

51--55

EN

In this paper, a system of fabric wrinkle measurement was developed which consisted of a fabric wrinkle simulator, scanner and computer. The simulator generated “diamond” wrinkles just like those of the elbow and knee in actual wear. The images of wrinkled fabrics acquired by the scanner were processed with software developed in MATLAB and new characteristics of wrinkle severity (WS) and fabric unevenness (FU) in the warp and weft direction were proposed for the wrinkle characterisation. 15 different fabrics were used to compare the measurement results of the system with those of the AATCC 66-2008 test method. The results showed good agreement of the two methods and at a 45° wrinkle recovery angle, the correlation between the wrinkle recovery angle and WS or FU increased. Therefore it was advised that the wrinkle recovery angle of 45° be measured rather than averaging warp and weft wrinkle recovery angles only when using the AATCC 66-2008 test method. Compared with the AATCC 66-2008 test method, that in this paper can produce more “realistic” wrinkles and measure the wrinkling properties of fabrics in actual wear.

PL

Opracowana metoda polega na wykorzystaniu symulatora, skanera i komputera. Symulator generuje powstanie zmarszczek o kształcie odpowiadającym zmarszczkom na łokciach i kolanach powstałym podczas noszenia odzieży. Obrazy zmarszczek zidentyfikowane za pomocą skanera były przetwarzane za pomocą programu opracowanego w MATLAB. Do dalszej analizy zmarszczek wykorzystywano dwa parametry WS – intensywność zmarszczek i FU – nierównomierność materiału w kierunku wątku i osnowy. Dla porównań wykorzystano 15 różnych tkanin. Porównując wyniki uzyskane za pomocą analizowanego systemu z wynikami uzyskanymi z metody AATCC 66-2008 stwierdzono dobrą zgodność wyników uzyskanych z obydwu metod. Wyciągnięto praktyczne wnioski dotyczące stosowania obydwu metod przy ocenie zmarszczek ubrań po procesie noszenia.

3

Investigation of Fly Generation During Cone-Winding Using the Image Processing Technique

Ghane M., Karbalaei Tafti S. M., Semnani D., Sheikhzadeh M.

Fibres & Textiles in Eastern Europe

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2012

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Vol. 20, no. 6A (95)

58--62

EN

Fibre fly generation is a major problem for the textile industry, not only for health reasons but also because of quality problems associated with products. In this work, fiber ?y generation during the cone-winding process was studied' emphasizing the effect of yarn spinning parameters. 100% acrylic yarns were produced with different twists and linear densities. The hairiness and hair counts of the yarns were measured using an evenness testing machine. In order to collect the fibre fly in the cone-winding process, the whole path of the yarn, from bobbin to cone, was covered with a plastic chamber so that the fly generated could be collected. The image processing technique was then used to calculate the length of flying fibres generated . The number of flies in each group length and also the total length of flies in 100 meters of yarn were calculated. The number of flies in each length group is defined as fly counts. For each yarn type 25 samples, 500 meters of yarn on each sample, were tested. The results revealed that both the twist and linear density of the yarn has a significant effect on the amount of fly generated during the winding process. As the twist of the yarn increases, the amount of fibre fly decreases. This effect is greater in higher linear densities. For all samples the total length of flies was also calculated and compared to the hairiness index of the yarn. The results showed a good linear regression between these two quantities, with a linear regression coefficient of R2 = 0.905.

PL

Powstawanie puchu przy przetwarzaniu przędz jest jednym z głównych problemów przemysłu tekstylnego, nie tylko ze względów zdrowotnych ale również z powodu uzyskania odpowiedniej jakości produktu. W pracy przeanalizowano powstawanie puchu podczas procesu przewijania, ze szczególnym uwzględnieniem parametrów przędzenia. Wyprodukowano 100% przędze akrylowe o różnym skręcie i masie liniowej. Badano włochatość przędz za pomocą przyrządu do pomiaru nierównomierności przędzy. W celu zebrania całkowitej ilości wytworzonego puchu, przewijaną przędzę na odcinku pomiędzy nawojami umieszczono w plastikowych komorach. Technika analizy obrazu została zastosowana w celu pomiaru długości fragmentów włókien tworzących puch. Obliczano ilość włókien w danym przedziale długości i ilość włókien puchu przypadających na 100 m przędzy. Badano 500 metrów przędzy dla 25 typów próbek różniących się skrętem i masą liniową. Stwierdzono, że zarówno skręt jaki i masa liniowa przędz mają istotny wpływ na ilość wytwarzanego przy przewijaniu puchu. Ze wzrostem skrętu i masy liniowej spada ilość wytworzonego puchu. Przeprowadzono również porównanie pomiędzy wytworzonym puchem a włochatością przędzy, stwierdzając liniową zależność miedzy tymi dwoma wielkościami.

4

The algorithms of computer-based localization and identification of defect lesions in alimentary tract basing on images received at endoscopic examination of upper section of the alimentary tract

Sulkowski B.

Journal of Medical Informatics & Technologies

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2000

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Vol. 1

IT 13--19

EN

The currently observed dramatic development of computer methods supporting diagnostic processes in various branches of medicine, and the development of methods of digital processing of images insinuates the creation of ever more sophisticated programmes supporting the work of medical doctors. The following paper deals with the problem of automatic determination of the edges of defect lesions in the alimentary tract, and presents suggestions as to creation of certain numerical parameters that would objectivise the nature of the edge of the lesion examined, thus contributing new information aimed to help the doctor make a diagnosis based on endoscopic image of the lesion. An important issue in that respect is that the image of the alimentary tract mucous membrane is highly irregular, the fact stemming from general anatomic and histological structure of mucosa of the alimentary tract. The pictures, prior to further processing and analysis, require the application of a smoothing filter, sometimes even a few times. Unfortunately, simple smoothing (averaging) filters cause considerable distortion of edges of the objects, like blurring, flattening and smoothing of the edges. With computer-made differentiation of images the phenomenon is a most undesirable one, since one of the elements differentiating pictures of various pathological lesions is, inter alia, the nature of edges of the objects analysed (the shape, sharpness of the separation, regularity, protrusion etc.). The object of the paper consists in working out an algorithm that would not cause distortion of the edges at the process of averaging.