Search for an Object in an Image by Image Difference Method to Find Contours of a Natural Leather Blank in Pattern Cutting Process

Murashko, F. V.; Рыжкова, Е. А.; Vlasenko, O. M.

doi:10.1007/s10692-018-9925-z

Cited by 5 publications

(2 citation statements)

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“…It can be conducted using grayscale values or feature values to obtain the difference image [56]. The spatiotemporal changes in vegetation in the study area could be obtained through the image difference method, and the positive and negative values of the difference could reflect the increase or decrease in vegetation [57]. A positive difference indicates an increase in vegetation in the study area, a negative difference indicates a decrease in vegetation in the study area, and a difference of 0 indicates no change in vegetation cover status.…”

Section: Difference Comparative Analysismentioning

confidence: 99%

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Lu,

Wu,

et al. 2023

Water

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As a typical desert in the Inner Mongolia Autonomous Region, the Ulan Buh Desert has a dry climate and scarce precipitation all year round. Groundwater has become the main factor limiting the growth of vegetation in this region. It is of great significance to study the influence of groundwater depth on the spatial distribution pattern of vegetation in this region. Based on the PIE-Engine platform and using long-term time-series Landsat data, this paper analyzed the spatial–temporal distribution characteristics and trends in vegetation coverage in the Ulan Buh Desert in the last 20 years using a pixel dichotomy model and the image difference method. The Kriging interpolation method was used to interpolate the groundwater depth data from 106 monitoring wells in the Ulan Buh Desert over the past 20 years, and the spatial distribution characteristics of groundwater depth in the Ulan Buh Desert were analyzed. Finally, the correlation coefficient between changes in vegetation coverage and changes in groundwater depth was calculated. The results showed the following: (1) The vegetation coverage in the Ulan Buh Desert was higher in the periphery and lower in the center of the desert. The overall vegetation level showed an increasing trend year by year; the growth rate was 4.73%/10 years, and the overall vegetation cover showed an improving trend. (2) The overall groundwater depth in the Ulan Buh Desert was deep in the southwest and shallow in the northeast. In the past 20 years, the groundwater depth in the Ulan Buh area has become shallower, and the ecological condition has gradually improved. (3) On the whole, the vegetation coverage varied with the groundwater depth, and the shallower the groundwater depth, the greater the vegetation coverage. When the groundwater depth increased to more than 4 m, the change in the groundwater depth had a significant effect on the vegetation coverage. However, when the groundwater depth was greater than 6 m, the change in the groundwater depth had no significant effect on the change in vegetation coverage.

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Section: Difference Comparative Analysismentioning

confidence: 99%

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Lu,

Wu,

et al. 2023

Water

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“…and (3) How does the influence of facility on fashion design education students' ability to create fashion patterns? Previously studies have mainly focused on pattern cutting (Almond & Power, 2018;McQuillan, 2019;Murashko et al, 2018;Sgro, 2020), the learning process in pattern marking (Azman et al, 2019;Linet et al, 2021;Naznin et al, 2020;Sleem & Elwan, 2018) and fashion sketch and pattern (Kato et al, 2019;Lee & Kim, 2021;Liu et al, 2019). However, there is a lack of studies that focus on investigating the effect of antecedent factors that are knowledge, discipline, and facility toward the fashion design education students' ability to create fashion patterns.…”

Section: Introductionmentioning

confidence: 99%

Fashion design education students' ability to create fashion patterns: investigating the effect of antecedent factors

Ernawati¹

2022

JPPI

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This study is based on the problem of many students having a low ability to create fashion patterns. This study aimed at the influence of knowledge, discipline, and facility on the fashion design education students' ability to create fashion patterns. The total population was 65 students that enrolled in the Fashion Pattern Construction of the Fashion Design Education Program of Universitas Negeri Padang. The sampling technique used in this study is total sampling. A total of 65 respondents were successfully collected. The data analysis technique used is Partial Least Square Structural Equation Modelling (PLS-SEM). The results showed that: There is an insignificant influence of knowledge on fashion design education students’ ability to create fashion patterns. Meanwhile, there is a significant effect of discipline and facility on fashion design education students’ ability to create fashion patterns. What could be said from the result of the study is that high discipline of students in the learning process and adequate facilities are owned by students and provided by the university could be increased fashion design education students' ability to create fashion patterns.

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An automatic system for bearing surface tiny defect detection based on multi-angle illuminations

Liu

Yang

Wang

et al. 2020

Optik

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Search for an Object in an Image by Image Difference Method to Find Contours of a Natural Leather Blank in Pattern Cutting Process

Cited by 5 publications

References 1 publication

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Effects of Groundwater Depth on Vegetation Coverage in the Ulan Buh Desert in a Recent 20-Year Period

Fashion design education students' ability to create fashion patterns: investigating the effect of antecedent factors

An automatic system for bearing surface tiny defect detection based on multi-angle illuminations

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