Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

Ye, Xinghuo; Wang, Qianyi

doi:10.1109/access.2020.3022011

Cited by 4 publications

(5 citation statements)

References 29 publications

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“…A watershed technique that employs the markers obtained from the gradient's low frequency component to rectify the original gradient image has been put forth in the literature [7] . This method combines the morphological minimum calibration approach with the second-order Butterworth low-pass filter.…”

Section: New Algorithm Descriptionmentioning

confidence: 99%

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Medical Image Segmentation Algorithm Based on Markup Improvement Combining the Watershed Algorithm and the Level Set Algorithm

2024

AJCIS

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In this paper, a method is proposed to merge the level set segmentation and the watershed segmentation for edge detection in medical images. To solve the issue of over-segmentation in the watershed algorithm, this improved watershed algorithm is proposed. By identifying the foreground and background, the number of segmented zones can be adjusted. For the process of filling the valley bottom, the divided region's contour is enhanced and modified to ensure that it fits as closely as possible to the target edge. The location of the edge in the gradient map is enhanced and adjusted, while the largest connected region is applied to acquire image edge information. Experiments have shown that this technique can reduce over-segmentation in medical images.

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Section: New Algorithm Descriptionmentioning

confidence: 99%

“…(6) The mandatory minimum technique was used to modify the gradient image obtained in step 2, using the MASK as the foreground and background markers; (7) The result of step 6 is divided into watersheds;…”

Section: Watershed Algorithm Based On Improved Morphologymentioning

confidence: 99%

Medical Image Segmentation Algorithm Based on Markup Improvement Combining the Watershed Algorithm and the Level Set Algorithm

2024

AJCIS

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“…Region-based methods use regional similarity to modify the level adjustment function. In Xinghuo et al.’s paper, 11 the local binary fitting model and the improved local Gaussian distribution energy model are simulated. The desired algorithm reduces the number of repetitions and shortens the image segmentation time.…”

Section: Introductionmentioning

confidence: 99%

Local energy-based image region segmentation using Legendre polynomials

Mahmoudian

Niazi

2023

J. Electron. Imag.

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.Segmentation of images is a critical pre-processing step in image processing. The objective of segmentation is to divide an image into two homogeneous segments based on similar features. Recently, energy-based segmentation methods, such as the level set algorithm, have exhibited remarkable performance in segmenting various types of image data. However, such methods fail to produce satisfactory results on textured images, leading to inaccurate foreground and background segmentation. To address this issue, the proposed method utilizes a feature space based on image local energy, which is independent of image intensity. This feature space provides a more robust representation of texture in the image. By taking advantage of a unique feature space, images can be represented with a sum of Legendre polynomials. The reproduced image is injected into the L2S algorithm. The level set function is optimized from the average difference of Legendre polynomial coefficients to provide the best representation of the image. Consequently, the proposed method results in better segmentation accuracy, with an average increase of 19.33 compared to existing state-of-the-art methods.

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“…It can better solve vague and difficult to quantify problems, and is suitable for solving various non-deterministic problems. It is necessary to strengthen the teaching of practical skills in colleges and universities and establish a development mechanism for hotel management talents, which meets the needs of hotel industry talents (Ye and Wang, 2021). Ma H aimed to improve the quality and efficiency of talent training in colleges and universities, and effectively analyze and count the number of talents.…”

Section: Introductionmentioning

confidence: 99%

Optimization design of international talent training model based on big data system

Wang¹

2022

Front. Psychol.

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With the deepening of the concept of a “global village,” the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. Internationalization has become an inevitable trend and trend in the development of higher education in the process of globalization. Big data refer to a collection of data whose content cannot be captured, managed, and processed by conventional software tools within a certain period of time, and need to be processed to obtain the required information. Developed countries have developed earlier in the field of education internationalization and have more mature experience, which provides a reference for the development of other countries. This paper aims to study the optimization design of the international talent training model based on the big data system. In this paper, the system analysis method is used for theoretical discussion. It establishes an index system of graduate students’ international talent training mode through AHP, and puts forward a breakthrough for international education in colleges and universities. Internationalized talents refer to high-level talents who have an international awareness and mind, a world-class knowledge structure, a vision and ability reaching an international level, and who are good at seizing opportunities and striving for initiative in global competition. This paper deeply studies the current situation of the international talent training model in colleges and universities, and finds out the deficiencies in the international talent training model. It also optimizes the path for the cultivation and development of international talents, which provides a basis for regional development and cultivation of international talents. The experimental results of this paper show that 20.1% of students believe that international education is to adapt to educational development, 25.4% of students believe that it is mainly to meet the needs of student development, and 62.2% of students believe that college majors lack internationalization characteristics.

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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology

Cited by 4 publications

References 29 publications

Medical Image Segmentation Algorithm Based on Markup Improvement Combining the Watershed Algorithm and the Level Set Algorithm

Medical Image Segmentation Algorithm Based on Markup Improvement Combining the Watershed Algorithm and the Level Set Algorithm

Local energy-based image region segmentation using Legendre polynomials

Optimization design of international talent training model based on big data system

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