scholarly journals Numerical methods and image processing techniques for melissopalynological honey analysis

10.5219/1517 ◽  
2021 ◽  
Vol 15 ◽  
pp. 58-65
Author(s):  
Zdeňka Javůrková ◽  
Matej Pospiech ◽  
Simona Ljasovská ◽  
Pavel Hrabec ◽  
Bohuslava Tremlová
Keyword(s):  
Pollen Grains ◽  
Depth Of Field ◽  
Width Ratio ◽  
Automated Systems ◽  
Depth Of Focus ◽  
Image Processing Techniques ◽  
Significant Difference ◽  
Length Width ◽  
Processing Techniques ◽  
Honey Analysis

Pollen analysis is a method used for verification of the botanical and geographical honey origin. Currently, much effort is being made to introduce automated systems with the use of image analysis programs. The automatic analysis is impeded by the insufficient depth of field of objects when using a light microscope, however, this can be avoided by using image reconstruction from images obtained from different focal planes. In this method, testing was performed on the normal focus (NF) and extended-depth-of-focus (EDF) images. These two methods were compared and statistically evaluated. The number of pollen grains and selected morphometric characteristics were compared. For EDF images, a higher number of pollen grains was obtained for the analysis, and except for the length/width ratio, a statistically significant difference was observed in the characteristics of pollen grains between the compared NF and EDF methods.

scholarly journals Classification Of Wheat Grains Using Image Processing Techniques Based Neuro-Fuzzy System Model

2018 ◽  
pp. 57-61
Author(s):  
Ahmet Kayabasi ◽  
Kadir Sabanci ◽  
Abdurrahim Toktas
Keyword(s):  
Image Processing ◽  
Fuzzy System ◽  
Absolute Error ◽  
Data Set ◽  
Wheat Grains ◽  
Image Processing Techniques ◽  
Neuro Fuzzy ◽  
Length Width ◽  
Processing Techniques

In this study, an image processing techniques (IPTs) and a Sugeno-typed neuro-fuzzy system (NFS) model is presented for classifying the wheat grains into bread and durum. Images of 200 wheat grains are taken by a high resolution camera in order to generate the data set for training and testing processes of the NFS model. The features of 5 dimensions which are length, width, area, perimeter and fullness are acquired through using IPT. Then NFS model input with the dimension parameters are trained through 180 wheat grain data and their accuracies are tested via 20 data. The proposed NFS model numerically calculate the outputs with mean absolute error (MAE) of 0.0312 and classify the grains with accuracy of 100% for the testing process. These results show that the IPT based NFS model can be successfully applied to classification of wheat grains.

scholarly journals Quantitative Evaluation of Leaf Morphology with Different Rice Genotypes Based on Image Processing

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shan Hua ◽  
Minjie Xu ◽  
Zhifu Xu ◽  
Hongbao Ye
Keyword(s):  
Image Processing ◽  
Morphological Characteristics ◽  
Image Processing Techniques ◽  
Filling Stage ◽  
Length Width ◽  
Rice Leaves ◽  
Rice Genotypes ◽  
Processing Techniques ◽  
Prostrate Growth ◽  
Heading Stage

Prostrate growth 1 (PROG1) gene is vital in controlling the prostrate growth habit of rice. Studying the effect of PROG1 gene on rice canopy structure is crucial in elucidating the molecular mechanism of rice plant type evolution. Herein, the morphological characteristics of different rice genotypes were collected at different growth stages and leaf nodes using image processing techniques. The morphological characteristics included leaf length, leaf width, and leaf area. The image processing techniques involved boundary mean oscillation (BMO) filtering and minimum bounding rectangle extraction of the target image. On this basis, the effect of the PROG1 gene on rice leaf morphology was quantitatively assessed. Also, the feasibility of image processing techniques in detecting the morphological characteristics of rice leaves was discussed. Under the influence of the PROG1 gene, the length, width, and area of rice leaves decreased by 45.1%, 12.7%, and 44.8%, respectively, at the booting stage. Similarly, the length, width, and area of flag leaves decreased by 15.8%, 32.0%, and 33.7% at the heading stage and by 25.4%, 16.2%, and 19.7% at the filling stage, respectively, and that of secondary leaf reduced by 23.2%, 13.6%, and 54.2% at heading stage and by 24.1%, 17.3%, and 37.0% at filling stage, respectively. Furthermore, the length, width, and area of other leaves reduced by 32.3%, 9.8%, and 51.6% at the heading stage and by 28.6%, 7.3%, and 36.7% at the filling stage, respectively. The leaves in the rice canopy were shorter, narrower, and smaller in leaf area. Notably, no significant differences were found between image processing technology and manual measurement methods regarding the values of leaf morphological characteristics obtained ( P < 0.05 ). Thus, these results show that image processing technology is effective in studying the morphological characteristics of rice leaves. This study provides a reliable foundation for molecular breeding studies and will guide the application of the PROG1 gene in molecular breeding.

Feline Skeletal Reference Guide: A Cadaveric Radiographic Measurement on Lower Limb Extremities

2021 ◽  
Author(s):  
Yunsir Choi ◽  
Joanna Pilton ◽  
Timothy Foo ◽  
Richard Malik ◽  
Bianca Haase
Keyword(s):  
Bone Fractures ◽  
Radiographic Measurement ◽  
Reference Database ◽  
Width Ratio ◽  
Surgical Interventions ◽  
Metatarsal Bones ◽  
Metacarpal Bones ◽  
Significant Difference ◽  
Length Width ◽  
Index Ratio

Abstract Objective The aim of this study was to create a feline reference database for the length, width and slenderness (length to width ratio) of metacarpal and metatarsal bones, radius and tibia. Study Design Radiographs of the radius, tibia, metacarpus and metatarsus were performed in domestic short hair cat cadavers (n = 40). Length and width of the aforementioned bones were measured in mature domestic shorthair cats and bone slenderness (length/width) and index ratios calculated. Results A significant skeletal sex dimorphism exists in cats, with bones of the metacarpus, metatarsus, radius and tibia generally longer and wider in male cats compared with female cats, with differences frequently significant. The most significant difference was identified for the width of Mc5 (p = 0.0008) and the length and width of Mt5 (p = 0.0005). Index ratios for length and width of radius to metacarpal bones, and tibia to metatarsal bones, were not significantly different between male and female cats, except for Mc5. The index ratio for Mc5 was significantly higher in male cats (p = 0.002). Conclusion The present study provides insights into the normal length and width of distal forelimb and hind limb bones as well as bone index ratios in mature domestic shorthair cats. Using this information, it is now possible to quantitatively assess the relationship between these bones in domestic cats using radiography. This will assist not only with the diagnosis and categorization of skeletal abnormalities but can also guide surgical interventions of metacarpal and metatarsal bone fractures.

scholarly journals The Size and The Shape of Sagittal Otolith of Redtail Scad, Decapterus kurroides Blekeer 1855 from Kema Bay, North Minahasa Regency, North Sulawesi, Indonesia

Omni-Akuatika ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 99
Author(s):  
Fransine B Manginsela ◽  
Gybert E Mamuaya ◽  
Rizald M Rompas ◽  
Lawrence J L Lumingas
Keyword(s):  
Shape Index ◽  
Growth Patterns ◽  
Width Ratio ◽  
Total Length ◽  
North Sulawesi ◽  
Sagittal Otolith ◽  
Significant Difference ◽  
Length Width ◽  
The Difference ◽  
Otolith Size

This study aimed to examine the difference in the otolith size and otolith shape of redtail scad Decapterus kurrodes between sex in North Sulawesi. The otoliths of D. kurroides were studied for sagitta otolith pair samples of 34 juveniles,   58 females and 75 males from Kema Bay. These pairs sagitta otolith images were interpreted using ImageJ tool to describe the otolith size (length, width, perimeter, and area), then we calculated the shape index (form factor, roundness, circularity, rectangularity, ellipticity and aspect ratio or length-width ratio). No significant difference was found in otolith length between left and right otoliths of juveniles of D. kurroides or called symmetrical but significant differences or asymmetrical were found in all sample, females and males. The regressions of total length against otolith sizes (otolith lengt, otolith width otolith perimeter and otolith area of D. kurroides follow a power function. The growth patterns showed dominant allometric growth in total length–otolith sizes relationships of D. kurroides from Kema Bay, Key Words: size, shape index, otolith, Decapterus kurroides, Kema Bay.

Image Processing Techniques on Radiological Images of Human Lungs Effected by COVID-19

2020 ◽  
Vol 4 (2) ◽  
pp. 69
Author(s):  
A.M. Sirisha ◽  
P. Venkateswararao
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Wide Spread ◽  
Image Processing Techniques ◽  
Human Lungs ◽  
Significant Difference ◽  
Radiological Images ◽  
Processing Techniques ◽  
Healthy Lung

The wide spread of COVID-19 all over the world inspires every human to know and visualize its effect on human body. As   COVID-19 effects the human lungs here a number of radiological images of human lungs are analysed using an image processing technique called Threshold Segmentation. A significant difference is observed between healthy lung images and COVID-19 effected lung images.

Venous Supercharging Reduces Complications and Improves Outcomes of Distally Based Sural Flaps

2017 ◽  
Vol 33 (05) ◽  
pp. 343-351 ◽  
Author(s):  
Farid Bekara ◽  
Nicolas Bertheuil ◽  
Raphael Carloni ◽  
Sandy Dast ◽  
Raphael Sinna ◽  
...  
Keyword(s):  
Comparative Study ◽  
Open Fracture ◽  
Lower Leg ◽  
Venous Congestion ◽  
Width Ratio ◽  
Significant Difference ◽  
Distal Lower Leg ◽  
Length Width ◽  
Prospective Comparative Study ◽  
Distally Based

Background The use of distally based neurocutaneous sural flaps (DBNCSF) is one of the most common methods of reconstructing the distal lower leg. However, they have developed a bad reputation because of their propensity for venous engorgement. Venous congestion that can lead to distal necrosis can be prevented by venous supercharging. Using a prospective comparative study, we thus explored the effect of venous supercharging on the reliability of these useful workhorse flaps. Methods We prospectively included 38 patients who received a conventional DBNCSF and 38 patients who received a supercharged version of this flap (sDBNCSF) between January 2012 and July 2016. Results No significant difference was identified between the groups in terms of age, sex, comorbidity, or defect origin. The main reconstruction etiology was traumatic (open fracture, scar disunion, and chronic osteitis). The flap size was noticeably larger in the sDBNCSF group, albeit without significance. The length-width ratio was significantly greater in the sDBNCSF group (6.08 vs. 5.53, p = 0.022). Venous congestion was significantly more common in the non-supercharged group (28.6 vs. 2.6%, p = 0.01), as was coverage failure (23.7 vs. 2.6%, p = 0.035). Conclusion There are significant benefits to using venous supercharging of DBNCSF, when technically feasible. In our experience, venous supercharging increases reliability, allows the raise of larger skin paddles with much narrower pedicles limiting the morbidity of the procedure, and improves the functional and esthetic results.

scholarly journals Variability in Nutritional Composition, Kernel Morphology and Cooking Quality of Selected Rice in Xingan Meng from Northeast China

2020 ◽  
Vol 189 ◽  
pp. 02024
Author(s):  
Hong Zhu ◽  
Ke-hong Liang ◽  
Ju Qiu ◽  
Jing Wang ◽  
Zhi-yuan Ji
Keyword(s):  
Nutritional Quality ◽  
Northeast China ◽  
Cooking Quality ◽  
Nutritional Composition ◽  
Width Ratio ◽  
Significant Difference ◽  
Length Width ◽  
Production Area ◽  
Kernel Morphology

Paddy rice cultivation expanded in Northeast China, and Xingan Meng of Inner Mongolia is an emerging area of rice production area. The goals of this study: i) to investigate varietal differences in levels of nutritional quality, kernel morphology and cooking quality and ii) to identify clusters of rice samples from Xingan Meng, northeast part of China. Research was conducted in Xingan Meng, China during the 2019 rice-growing season. The nutritional quality (energy, protein, carbohydrate, lipid, amylose, ash, Ca, Na, Fe, Zn, Mn), cooking quality (alkali spreading value, gel consistency) and kernel morphology (length, width, length width ratio, chalky rice percentage, chalky rice degree) were analysed. Significant difference were found across all traits. The largest variation was found for Mn, followed by Ca, Fe and Zn content. Four principal components were found that accounted for 95.14% of overall variability. Cluster analysis sorted the rice sample into four clusters based on nutritional quality, kernel morphology, and cooking quality. The findings of this study can support to demonstrate the quality of rice from Xingan Meng, northeast part of China.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

Sign in / Sign up

Export Citation Format

Share Document