Automatic colorimetric calibration of human wounds

Contains fulltext : 88431.pdf (publisher's version ) (Open Access)BACKGROUND: Recently, digital photography in medicine is considered an acceptable tool in many clinical domains, e.g. wound care. Although ever higher resolutions are available, reproducibility is still poor and visual comparison of images remains difficult. This is even more the case for measurements performed on such images (colour, area, etc.). This problem is often neglected and images are freely compared and exchanged without further thought. METHODS: The first experiment checked whether camera settings or lighting conditions could negatively affect the quality of colorimetric calibration. Digital images plus a calibration chart were exposed to a variety of conditions. Precision and accuracy of colours after calibration were quantitatively assessed with a probability distribution for perceptual colour differences (dE_ab). The second experiment was designed to assess the impact of the automatic calibration procedure (i.e. chart detection) on real-world measurements. 40 Different images of real wounds were acquired and a region of interest was selected in each image. 3 Rotated versions of each image were automatically calibrated and colour differences were calculated. RESULTS: 1st Experiment: Colour differences between the measurements and real spectrophotometric measurements reveal median dE_ab values respectively 6.40 for the proper patches of calibrated normal images and 17.75 for uncalibrated images demonstrating an important improvement in accuracy after calibration. The reproducibility, visualized by the probability distribution of the dE_ab errors between 2 measurements of the patches of the images has a median of 3.43 dE* for all calibrated images, 23.26 dE_ab for all uncalibrated images. If we restrict ourselves to the proper patches of normal calibrated images the median is only 2.58 dE_ab! Wilcoxon sum-rank testing (p < 0.05) between uncalibrated normal images and calibrated normal images with proper squares were equal to 0 demonstrating a highly significant improvement of reproducibility. In the second experiment, the reproducibility of the chart detection during automatic calibration is presented using a probability distribution of dE_ab errors between 2 measurements of the same ROI. CONCLUSION: The investigators proposed an automatic colour calibration algorithm that ensures reproducible colour content of digital images. Evidence was provided that images taken with commercially available digital cameras can be calibrated independently of any camera settings and illumination features

DETEKSI KELILING LUKA KRONIS MENGGUNAKAN ACTIVE CONTOUR (SNAKE) DAN ACTIVE CONTOUR YANG DITAMBAHKAN INTERPOLASI

Luka kronis menjadi permasalahan bagi perawat luka dan instansi kesehatan terkait. Salah satu hal mendasar dalam penyembuhan luka kronis adalah melihat ukuran luka yang akan diamati dalam proses assesment luka yang saat ini masih dilakukan secara manual dan hal tersebut rentan dengan ketidakakuratan. Untuk mengatasi ketidakakuratan pengukuran manual, maka metode pengukuran keliling luka berbasis analisa citra (image), khususnya citra biomedis (biomedical image) dan citra medis (medical image) perlu dikembangkan. Skripsi ini bertujuan untuk mengimplementasi dan melihat hasil metode active contour (snake) dalam kasus deteksi keliling luka kronis. Implementasi yang dikembangkan menggunakan metode snake dengan snake yang ditambahkan interpolasi untuk deteksi keliling luka kategori luka hitam, kuning, dan merah. Hasil akhir menunjukkan bahwa data yang berhasil dideteksi menggunakan snake interpolasi (44 data dari 71 data) lebih banyak dibandingkan versi integer (12 data dari 71 data) dengan nilai akurasi rata-rata 77.18% untuk snake versi integer dan 86.1% untuk snake versi interpolasi. ***** Chronic wounds are a problem for wound nurses and related health agencies. One of the basic things in chronic wound healing is to see the size of the wound that will be observed in the wound assessment process, which is currently still done manually and is prone to inaccuracies. To overcome the inaccuracy of manual measurements, the method of measuring wound circumference based on image analysis, especially biomedical images and medical images, needs to be developed. This thesis aims to implement and see the results of the active contour (snake) method in the case of chronic wound circumference detection. The implementation developed uses the snake method with a snake added by interpolation to detect the circumference of the wound in the black, yellow, and red categories. The final result shows that the data detected using snake interpolation (44 data from 71 data) is more than the integer version (12 data from 71 data) with an average accuracy value of 77.18% for the integer version of the snake and 86.1% for the interpolated version of the snake

Review: computer vision applied to the inspection and quality control of fruits and vegetables

This is a review of the current existing literature concerning the inspection of fruits and vegetables with the application of computer vision, where the techniques most used to estimate various properties related to quality are analyzed. The objectives of the typical applications of such systems include the classification, quality estimation according to the internal and external characteristics, supervision of fruit processes during storage or the evaluation of experimental treatments. In general, computer vision systems do not only replace manual inspection, but can also improve their skills. In conclusion, computer vision systems are powerful tools for the automatic inspection of fruits and vegetables. In addition, the development of such systems adapted to the food industry is fundamental to achieve competitive advantages

Neonatal skin injuries from mechanical forces: a multicentre, mixed methods study

Deanne August studied neonatal skin injuries through a multicentre, mixed methods research comprised of eight methods, to explore and determine epidemiologic factors of injury. Findings included methods for neonatal injury assessment, multiple forces contributed towards injury; neonates have increased risk compared to older populations; many injuries are currently unpreventable, and identification of new extrinsic and intrinsic risk factors