scholarly journals Research on the Region-Growing and Segmentation Technology of Micro-Particle Microscopic Images Based on Color Features

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2325
Author(s):  
Xinyu Hu ◽  
Qi Chen ◽  
Xuhui Ye ◽  
Daode Zhang ◽  
Yuxuan Tang ◽  
...  
Keyword(s):  
Detection Method ◽  
Region Growing ◽  
Distribution Area ◽  
Color Information ◽  
Microscopic Images ◽  
Micro Particles ◽  
True Value ◽  
Complex Background ◽  
The World ◽  
Region Growth

Silkworm microparticle disease is a legal quarantine standard in the detection of silkworm disease all over the world. The current common detection method, the Pasteur manual microscopy method, has a low detection efficiency all over the world. The low efficiency of the current Pasteur manual microscopy detection method makes the application of machine vision technology to detect microparticle spores an important technology to advance silkworm disease research. For the problems of the low contrast, different illumination conditions and complex image background of microscopic images of the ellipsoidal symmetrical shape of silkworm microparticle spores collected in the detection solution, a region growth segmentation method based on microparticle color and grayscale information is proposed. In this method, the fuzzy contrast enhancement algorithm is used to enhance the color information of micro-particles and improve the discrimination between the micro-particles and background. In the HSV color space with stable color, the color information of micro-particles is extracted as seed points to eliminate the influence of light and reduce the interference of impurities to locate the distribution area of micro-particles accurately. Combined with the neighborhood gamma transformation, the highlight feature of the micro-particle target in the grayscale image is enhanced for region growing. Mea6nwhile, the accurate and complete micro-particle target is segmented from the complex background, which reduces the background impurity segmentation caused by a single feature in the complex background. In order to evaluate the segmentation performance, we calculate the IOU of the microparticle sample image segmented by this method with its corresponding true value image, and the experiments show that the combination of color and grayscale features using the region growth technique can accurately and completely segment the microparticle target in complex backgrounds with a segmentation accuracy IOU as high as 83.1%.

A Method for Extracting QR Code from Complex Background Based on Morphology

2012 ◽  
Vol 239-240 ◽  
pp. 1466-1471
Author(s):  
Xu Yang ◽  
Xiang Gao ◽  
Si Qiang Jia ◽  
Qi Yong Lu
Keyword(s):  
Traditional Method ◽  
Detection Method ◽  
Perspective Transformation ◽  
Pattern Detection ◽  
Corner Detection ◽  
Qr Code ◽  
Gravity Center ◽  
Complex Background ◽  
Region Growth ◽  
Seed Pixel

In this paper we propose a new QR code extracting method based on morphology. Most of the time, locating Finder patterns is a significant part of QR code extraction. On the basis of traditional Finder Pattern detection method which checks whether certain areas meet 1:1:3:1:1 in both vertical and horizontal directions, we further refine the true Finder Patterns from several candidate areas through acreage proportion and gravity center detection, so as to eliminate interference from complex background. After image segmentation and getting the true finder patterns, other than the traditional method such as edge detection, we introduce the algorithm of region growth, along with choosing one seed pixel from obtained finder patterns to roughly figure out the QR code area. Eventually, by combining corner detection and inverse perspective transformation, we accomplish the extraction of QR code. Experiment results show that this method has robust correction capability from complex background and QR code deformation.

Vehicles Categorization in Complex Background

2014 ◽  
Vol 998-999 ◽  
pp. 708-711
Author(s):  
Ying Zhuo Xiang ◽  
Dong Mei Yang ◽  
Ji Kun Yan
Keyword(s):  
Detection Method ◽  
Line Length ◽  
Line Detection ◽  
View Point ◽  
Training Set ◽  
Large Variability ◽  
Linear Classifier ◽  
Complex Background ◽  
Novel Approach ◽  
Dimension Characteristic

This paper presents a novel approach to categorize multi-view vehicles in complex background using only two dimension characteristic vectors instead of high dimension vectors. Vehicles have large variability of models and the view-point makes the appearance change dramatically. Significant characteristics should be chosen as the evidence to categorize. In this paper, we categorize the vehicles into two categories – cars and lorries. Line detection method is used and calculating the average line length and the number of parallel lines as the two characteristics. A linear classifier is trained using 30 different view cars and lorries as the training set and an 10 additional different cars and lorries as the testing set.

scholarly journals Microscopic Image Segmentation Based on Swarm Intelligence Optimization Algorithms

2019 ◽  
pp. 124-130
Author(s):  
Selen Ayas ◽  
Hulya Dogan ◽  
Eyup Gedikli ◽  
Murat Ekinci
Keyword(s):  
Swarm Intelligence ◽  
Diagnostic Technique ◽  
World Health ◽  
Flower Pollination Algorithm ◽  
Background Concentration ◽  
Sputum Smear ◽  
Microscopic Image ◽  
Visual Examination ◽  
Microscopic Images ◽  
The World

The World Health Organization suggests the visual examination of stained sputum smear samples as a preliminary and basic diagnostic technique for diagnosing tuberculosis which is the most common infectious disease in the world. Due to the fact that the visual examination of slide samples performed by expert laboratory technicians requires much time and the process is prone to mistake, an accurate diagnosis of disease is provided with computer aided automatic diagnosis methods. In this study, the usage of swarm intelligence algorithms based on entropy information are proposed for detecting the tuberculosis bacilli as an ovelap approach in segmentation of microscopic images. The microscopic images used in the study are taken from smear samples in which the background concentration is low and bacilli concentration is low and high. An optimum threshold value in gray-level microscopic image is determined using the bi-level entropy based Particle Swarm Optimization, Firefly Algorithm, Cuckoo Search Optimization and Flower Pollination Algorithm. The acquired visual results show that the proposed swarm intelligence algorithms are quite successful in segmentation of microscopic images.

scholarly journals Global change affects differently at local scales animal populations: why Starlings still expands to the south while other temperate species go to the north?

2021 ◽  
Author(s):  
Alexandra Rodriguez ◽  
Giuseppe La Gioia ◽  
Patricia Le Quilliec ◽  
Damien Fourcy ◽  
Philippe Clergeau
Keyword(s):  
Climate Change ◽  
Global Change ◽  
Sturnus Vulgaris ◽  
European Starling ◽  
Distribution Area ◽  
The South ◽  
The North ◽  
Animal Populations ◽  
The World ◽  
Landscape Transformations

Global change, which regroups global warming, landscape transformations and other anthropic modifications of ecosystems, has effects on populations and communities and produces modifications in the expansion area of species. While some species disappear, other ones are beneficiated by the new conditions and some of them evolve in new adapted forms or leave their ancient distribution area. As climate change tends to increase the temperature in several regions of the world, some species have been seen to leave areas in equatorial regions in order to join colder areas either towards the north of the northern hemisphere or towards the south of the southern one. Many birds as have moved geographically in direction to the poles and in many cases they have anticipated their laying dates. Actually, two tit species that use to lay their eggs in a period that their fledging dates synchronize with the emerging dates of caterpillars are now evolving to reproductive in periods earlier than before the climate change. Several species are reacting like that and other ones are moving to the north in Europe for example. Nevertheless, and very curiously, European starling, Sturnus vulgaris, populations are behaving on the contrary: their laying dates are moving towards later spring and their distribution area is moving towards the south. In this study we explore and discuss about different factors that may explain this difference from other birds.

A multi-scale plane-detection method based on the Hough transform and region growing

2016 ◽  
Vol 31 (154) ◽  
pp. 166-192 ◽  
Author(s):  
Xiaoxu Leng ◽  
Jun Xiao ◽  
Ying Wang
Keyword(s):  
Hough Transform ◽  
Detection Method ◽  
Region Growing ◽  
Multi Scale

Rekonstrukcija transformatorske stanice 35/10kV u spoljašnje razvodno postrojenje 20kV 20211, XXIII

2021 ◽  
Vol 23 (1) ◽  
pp. 61-64
Author(s):  
Srbislav Sarić ◽  
Biljana Sarić
Keyword(s):  
Power Supply ◽  
Preventive Maintenance ◽  
Financial Resources ◽  
Distribution Area ◽  
Power Equipment ◽  
Voltage Level ◽  
The World ◽  
Operational Readiness ◽  
Successful Business ◽  
Novi Sad

In the distribution area of Novi Sad, owned by ODS EPS Distribucija, there are 35 substations 35/10kV that are on average over 50 years old. Considering the tendency to gradually eliminate the voltage levels of 35kV and 10kV in this distribution area and the transition to the voltage level of 20kV, some of these substations are planned for reconstruction into 20kV distribution plants. Reconstruction of these substations requires large financial resources, because their construction part is in a very bad condition, electric power equipment is unreliable and difficult to maintain, and operational readiness is an increasingly important factor in presenting successful business. During the reconstruction of these transformer stations, the possibility of a backup power supply route for electricity customers, the speed of intervention and the smooth performance of preventive maintenance must be taken into account. The appearance of reclosers opened a new chapter in the world of electricity. Namely, now the above problems and requirements can be solved in a simpler and cheaper way with the use of reclosers. The paper will present a proposal for the reconstruction of the substaion 35/10 kV "Kuzmin" in the area of the Branch Distribution Sremska Mitrovica, which has been operating for more than 60 years, in an external 20 kV distribution plant formed with the help of reclosers built on steel lattice poles. The proposed solution can be used to solve the same or similar problems, primarily in the distribution area of Novi Sad.

scholarly journals Near Threatened Fishes of the World: Malapterurus teugelsi Norris, 2002 (Siluriformes: Malapteruridae)

2018 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Felix Koffi KONAN ◽  
Charles Koffi BOUSSOU ◽  
Yves Kotchi BONY ◽  
Mexmin Koffi KONAN ◽  
Edia Oi EDIA ◽  
...  
Keyword(s):  
River Basin ◽  
Reproductive Biology ◽  
Local Population ◽  
Cultural Representation ◽  
Distribution Area ◽  
Mining Activities ◽  
Fishing Pressure ◽  
The World ◽  
Threatened Fishes ◽  
Near Threatened

Malapterurus teugelsi Norris, 2002, an endemic electric catfishes of the Kogon River Basin in Guinea, is assessed as Near Threatened due to its restricted distribution area, fishing pressure, mining activities, loss of habitats and aquatic pollution. This fish has a high cultural representation in the folklore of the local population. Moreover, in addition to its very limited distribution, very little information exists on its reproductive biology and its food ecology. Therefore, singular care must be paid to it for its conservation.

Text Segmentation from Bangla Land Map Images

2014 ◽  
Vol 19 (1) ◽  
pp. 21-34
Author(s):  
Samit Biswas ◽  
Amit Kumar Das ◽  
Bhabatosh Chanda
Keyword(s):  
Delaunay Triangulation ◽  
Spoken Language ◽  
Single Component ◽  
Text Segmentation ◽  
Spatial Form ◽  
Regional Language ◽  
Complex Background ◽  
The World ◽  
Segmentation Approach ◽  
Indic Scripts

Abstract Text segmentation from land map images is a non-trivial task as map components are interleaved and overlapped in a complex spatial form. The characters in a word in most of the Indic languages, including Bangla (the 6th most spoken language in the world), are connected through a headline (”matra” or ”shirorekha”) which makes the corresponding word a single component. It has been observed that the Delaunay triangulation (DT) forms a number of small triangles on the text regions compared to other regions of the map - a property very much discernible for Bangla (and some other Indic scripts) texts. This property is primarily exploited here to segment text from the complex background of the land map images. The proposed text segmentation approach is tested and compared with an existing method on a collected dataset of paper map images( containing Bangla, an Indian regional language texts) and the results are encouraging.

scholarly journals Covid-19: Pandemonium in our time

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Robert Bergquist ◽  
Laura Rinaldi
Keyword(s):  
Shock Wave ◽  
Paradise Lost ◽  
Actual Data ◽  
Ground Zero ◽  
Nuclear Bomb ◽  
True Value ◽  
Epic Poem ◽  
Bomb Test ◽  
The World ◽  
The Trinity

While pandemonium has come to mean wild and noisy disorder, the reference here is to John Milton's epic poem Paradise Lost and the upheaval following Lucifer's banishment from Heaven and his construction of Pandæmonium as his hub. Today's avalanche of conflicting news on how to deal with the coronavirus disease 2019 (Covid-19) brings to mind the Trinity nuclear bomb test with Enrico Fermi estimating its strength by releasing small pieces of paper into the air and measuring their displacement by the shock wave. Fermi's result, in fact not far from the true value, emphasised his ability to make good approximations with few or no actual data. The current wave of Covid-19 presents just this kind of situation as it engulfs the world from ground zero in Wuhan, China. Much information is indeed missing, but datasets that might lead to useful ideas on how to handle this pandemic are steadily accumulating.

scholarly journals INTELLECTUAL [DIS]HONESTY IN ARCHITECTURE

2014 ◽  
Vol 38 (3) ◽  
pp. 187-191 ◽  
Author(s):  
Kenneth G. Masden II ◽  
Nikos A. Salingaros
Keyword(s):  
Built Environment ◽  
General Public ◽  
Power Structure ◽  
Human Beings ◽  
High Profile ◽  
True Value ◽  
Logical Conclusion ◽  
The World ◽  
The Media ◽  
Contemporary Architecture

Many, if not a majority, of the world’s citizens view contemporary architecture as ineffective in accommodating the lives of everyday human beings. And yet, voluminous texts by prominent architects and the media argue just the opposite; that, in fact, flashy and expensive new projects profoundly benefit humanity. Those buildings supposedly provide continued advancement in how humans occupy the world. While there is no doubt that the built environment is instrumental to human achievement and wellbeing, what is the true value of the ill-formed, and perhaps ill-conceived, products of today’s leading architects? This essay argues that the elite power structure behind high-profile architectural projects is focused more upon promoting like-minded architects, and their narrow ideological interests, than in satisfying the ordinary everyday user. In doing so, this activity irrevocably damages the environment and markedly diminishes human neuro-physiological engagement with the man-made world. The logical conclusion from this purposeful misrepresentation is that the profession deliberately manipulates both the general public and architecture students to serve its own agenda.

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