Extraction and Selection of Objects in Digital Images by the Use of Straight Edges Segments

Author(s):  
V. Yu. Volkov
Keyword(s):  
2021 ◽  
Vol 1193 (1) ◽  
pp. 012067
Author(s):  
D Blanco ◽  
A Fernández ◽  
P Fernández ◽  
B J Álvarez ◽  
F Peña

Abstract On-Machine Measurement adoption will be key to dimensional and geometrical improvement of additively manufactured parts. One possible approach based on OMM aims at using digital images of manufactured layers to characterize actual contour deviations with respect to their theoretical profile. This strategy would also allow for in-process corrective actions. This work describes a layer-contour characterization procedure based on binarization of digital images acquired with a flat-bed scanner. This procedure has been tested off-line to evaluate the influence of two of the parameters for image treatment, the median filter size (S f ) and the threshold value (T), on the dimensional/geometrical reliability of the contour characterization. Results showed that an appropriate selection of configuration parameters allowed to characterize the proposed test-target with excellent coverage and reasonable accuracy.


2021 ◽  
pp. 66-71
Author(s):  
Valentin G. Nikitaev ◽  
Alexandr N. Pronichev ◽  
Olga B. Tamrazova ◽  
Vasily Yu. Sergeev ◽  
Ekaterina A. Druzhinina ◽  
...  

The problem of early diagnosis of one of the most dangerous malignant neoplasms of the skin – melanoma is considered. A model for identifying the structural elements of lines in digital images of skin neoplasms in oncodermatology has been developed. The model is based on adaptive binarization of the original digital dermatoscopic image of skin neoplasms and subsequent operations of dilation, erosion, skeletonization and filtering of false fragments of lines. Test dermatoscopic images of skin neoplasms are visually divided into four groups to conduct the experiment. The optimal parameters of image processing of four groups for the model of selection of structural elements – lines – are experimentally established. The experimentally determined accuracy of the selection of lines was 95 %. The work is the result of interdisciplinary cooperation between dermatologists of the Central Medical Academy of the Presidential Administration of the Russian Federation, the Medical Institute of the Peoples' Friendship University of Russia and specialists in the field of information and measurement systems of the Engineering and Physical Institute of Biomedicine of the National Research Nuclear University “MEPhI”. The proposed model can be used in the development of computer systems to support medical decision – making in the diagnosis of skin melanoma – a dangerous malignant neoplasm.


2021 ◽  
pp. 121-130
Author(s):  
Mahdi Fendri ◽  
Sawssen Mhamdi ◽  
Fadwa Jendoubi ◽  
Ajmi Larbi

Color and pigment analyses are not required by the majority of olive oil marketing standards. However, it is a basic attribute that is highly associated, by most consumers, with the idea of quality. In this study, we aim at providing a fast non-invasive method for routine analysis that can be used on a large scale in the laboratories of olive oil analysis starting from pigment quantification and color range measurements. A selection of 172 virgin olive oil samples obtained in Tunisia between 2018 and 2019 were used for this purpose. Chlorophyll and carotenoid contents were analyzed using a UV spectrophotometer standard method while color range was measured using digital images taken under controlled conditions. All samples showed high significant differences in chlorophyll and carotenoid contents (p <0,01) confirming that the visual selection of the set of samples was satisfactory for this study. Chlorophyll content varied from 3,0 to 28,3 ppm for samples SM137 and SM96 respectively, while carotenoids ​​oscillated between 0,7 and 6,2 ppm for SM138 and SM100 respectively. Principal component analysis using chlorophyll and carotenoids contents along with RGB-CYMY color measurements showed a higher significant correlation P<0,05 between pigment contents and Red, Green, Blue and Yellow colors. Bivariate tests suggest that although color and pigments are correlated, color range assessment using digital imaging may represent a more sensitive method to discriminate olive oil according to cultivar, geographical origin, maturation index and year of harvest.


Leonardo ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 447-454 ◽  
Author(s):  
Kathryn de Ridder-Vignone ◽  
Michael Lynch

Throughout the brief history of nanoscience and nanotechnology, the prominence of digital images and animations is noteworthy. Many appear in online image galleries that provide an important public interface for presenting and promoting scientific research. In this essay, the authors examine a selection of images from image galleries, identify some of their features and functions, and discuss how the artistic and scientific conventions used to present these images define nanotechnology for both researchers and members of the broader public.


2019 ◽  
Vol 19 (03) ◽  
pp. 1950014 ◽  
Author(s):  
Manoj Kumar ◽  
Anuj Rani ◽  
Sangeet Srivastava

Computer generated images are assumed to be a key part in each person’s life in this era of information technology, where individuals effectively inhabit the advertisements, magazines, websites, televisions and many more. At the point when digital images played their role, the event of violations in terms of misrepresentation of information, use of their wrong doings winds up and also becomes easier with the help of image editing application programs. To be legitimate, if anyone does wrong anything then the proposed method can be used for a correct identification of the forgery and the imitations in the digital images. In existing techniques, researchers have suggested most well-known types of digital photographic manipulations based on source, meta-data, image copying, splicing and many more. The proposed approach is inspired by physics-based techniques and requires less human involvement. The presented approach works for images having any type of objects present in the scene, i.e. not only limited to human faces and selection of same intensity regions of the image. By assessing the lighting parameters, the proposed technique identifies the manipulated object and returns angle of incidence w.r.t light source direction. The demonstrated result produces forgery recognition rate of 92% on an image dataset comprising of various types of manipulated images.


Author(s):  
Rositsa Yordanova ◽  
Petya Nikolova ◽  
Stanka Baycheva

The report analyses an algorithm to track the growth of colonies from mold by digital images. The effect of color components on the recognition and enumeration of mold colonies was analyzed. A selection of form description coefficients has been made to trace this growth. The nature of the modification of the colony of mold in two nutrient media has been established. The obtained data can be used to develop mathematical models describing colony development. Connections and comparisons can be made of the process that influence development of molds.


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