Analysis on the Application of Image Processing Technology in Clothing Pattern Recognition

A clothing pattern is a significant embodiment of regional culture and national characteristics.The recognition of clothing patterns could be realized objectively and accurately by using digital image processing technology.The researches on the extraction techniques of various pattern elements were compared and analyzed.Then the researches on clothing pattern color,outline and fabric texture extraction were summarized.And the core technology chain model of clothing pattern extraction was constructed.The research status,the core technology and the development trend of pattern element extraction technology based on two-dimensional images were obtained.What’s more,a reference for the follow-up research of clothing patterns and the technology upgrading of textile and clothing industries were provided.

Feature Fusion Multi_XMNet Convolution Neural Network for Clothing Image Classification

Faced with the massive amount of online shopping clothing images,how to classify them quickly and accurately is a challenging task in image classification.In this paper,we propose a novel method,named Multi_XMNet,to solve the clothing images classification problem.The proposed method mainly consists of two convolution neural network(CNN)branches.One branch extracts multiscale features from the whole expressional image by Multi_X which is designed by improving the Xception network,while the other extracts attention mechanism features from the whole expressional image by MobileNetV3-small network.Both multiscale and attention mechanism features are aggregated before making classification.Additionally,in the training stage,global average pooling(GAP),convolutional layers,and softmax classifiers are used instead of the fully connected layer to classify the final features,which speed up model training and alleviate the problem of overfitting caused by too many parameters.Experimental comparisons are made in the public DeepFashion dataset.The experimental results show that the classification accuracy of this method is 95.38%,which is better than InceptionV3,Xception and InceptionV3_Xception by 5.58%,3.32%,and 2.22%,respectively.The proposed Multi_XMNet image classification model can help enterprises and researchers in the field of clothing e-commerce to automaticly,efficiently and accurately classify massive clothing images.

Research on Clothing Simulation Design Based on Three-Dimensional Image Analysis

Traditional clothing design models based on adaptive meshes cannot reflect.To solve this problem,a clothing simulation design model based on 3D image analysis technology is established.The model uses feature extraction and description of image evaluation parameters,and establishes the mapping relationship between image features and simulation results by using the optimal parameter values,thereby obtaining a three-dimensional image simulation analysis environment.On the basis of this model,by obtaining the response results of clothing collision detection and the results of local adaptive processing of clothing meshes,the cutting form and actual cutting effect of clothing are determined to construct a design model.The simulation results show that compared with traditional clothing design models,clothing simulation design based on 3D image analysis technology has a better effect,with the definition of fabric folds increasing by 40%.More striking contrast between light and dark,the resolution increasing by 30%,and clothing details getting a more real manifestation.

Character image analysis of Yuan variety play Qiuhu philander his wife

As the typical representative of love and marriage drama in Yuan variety play,Qiuhu philander his wife plays a relatively important role in it.This paper carries on the analysis in a few typical character image,which are Luo Meiying who has the courage to fight,the hypocritical and insidious Qiu Hu,the ugly and vicious Li Dahu,the greedy and hard-hearted Luo Dahu,the kind and helpless mother-in-law Mei Ying,these five different images apparently jumping on the paper.

Computer Vision Evaluation of Clothing Fit

Most of the research on clothing fit is dependent on the subjective experience,and there are few studies involved in quantitative analysis.In this regard,this topic is innovative,it is the combination of image processing technology and garment fit evaluation.Through the background of the image noise reduction,edge extraction,reference point selection,to obtain the actual size.And according to the membership function to obtain the scope of the fit,the computer way to determine the degree of clothing fit.

Re-creation of Chinese Traditional Clothing

On the basis of analysis on both the typical characteristics of Chinese traditional clothing and trendy fashion on present market that is inspired from it,this paper illustrates several re-creation methods of Chinese traditional clothing.These suggestions would push this oriental traditional clothing to a new high in world fashion field and adopted by more and more common people.

Computer-aided Visual Assessment of the Grade of Clothing Fit

The paper first introduces and analyzes the merits and demerits of some traditional methods of evaluating the grade of clothing fit. Then a computer-aided evaluating method is put forward. In this process two groups are needed. The control group is made up of people who wear maillot while the experimental group consists of those who wear target clothes to be evaluated. People in these two groups are taken photos respectively from front, back and lateral sides. The photos are input computer and receive a series of image processing using Open CV which provides the open source library function including image preprocessing, edge detection and image segmentation, etc. Finally, taking the clothing ease into account, the processed data is used for region matching and evaluating the grade of clothing fit.

Research on the Copyright Protection Technology of Digital Clothing Effect Diagram

As a kind of digital clothing design works,digital clothing effect diagram shows fast and roughly designer intent expression and needs protection of digital copyright protection technology.A novel digital clothing effect diagram copyright protection scheme and some algorithms based on digital image watermark technology are proposed,used by two-dimensional chaotic encryption watermark generation algorithm to generate watermark data,watermark embedding algorithm twice using genetic algorithm to obtain the optimal embedding position and embedding strength,and watermark verification algorithm to determine the copyright ownership.Experimental results and analyses show that the proposed scheme and algorithms have the feasibility and effectiveness.

Review of Optical Character Recognition for Power System Image Based on Artificial Intelligence Algorithm

Optical Character Recognition(OCR)refers to a technology that uses image processing technology and character recognition algorithms to identify characters on an image.This paper is a deep study on the recognition effect of OCR based on Artificial Intelligence(AI)algorithms,in which the different AI algorithms for OCR analysis are classified and reviewed.Firstly,the mechanisms and characteristics of artificial neural network-based OCR are summarized.Secondly,this paper explores machine learning-based OCR,and draws the conclusion that the algorithms available for this form of OCR are still in their infancy,with low generalization and fixed recognition errors,albeit with better recognition effect and higher recognition accuracy.Finally,this paper explores several of the latest algorithms such as deep learning and pattern recognition algorithms.This paper concludes that OCR requires algorithms with higher recognition accuracy.

Automated Extraction and Analysis of CBC Test from Scanned Images

Health care is an important part of human life and is a right for everyone. One of the most basic human rights is to receive health care whenever they need it. However, this is simply not an option for everyone due to the social conditions in which some communities live and not everyone has access to it. This paper aims to serve as a reference point and guide for users who are interested in monitoring their health, particularly their blood analysis to be aware of their health condition in an easy way. This study introduces an algorithmic approach for extracting and analyzing Complete Blood Count (CBC) parameters from scanned images. The algorithm employs Optical Character Recognition (OCR) technology to process images containing tabular data, specifically targeting CBC parameter tables. Upon image processing, the algorithm extracts data and identifies CBC parameters and their corresponding values. It evaluates the status (High, Low, or Normal) of each parameter and subsequently presents evaluations, and any potential diagnoses. The primary objective is to automate the extraction and evaluation of CBC parameters, aiding healthcare professionals in swiftly assessing blood analysis results. The algorithmic framework aims to streamline the interpretation of CBC tests, potentially improving efficiency and accuracy in clinical diagnostics.

The Application and Expression of Image Language in Fashion Art Design

In the context of visual cultural dissemination,clothing art and design are becoming increasingly close to people’s lives,and the interaction between images and clothing will be increasing.On the basis of integrating tradition,clothing art incorporates visual expression language,changes the attributes of clothing display and dissemination,and reconstructs the creative approach of clothing art design,thus constructing new artistic language and expression methods.By analyzing typical design cases and utilizing the characteristics of image and fashion art,as well as the techniques of image implantation,the inherent relationship between fashion art and image is elucidated.

Denoising of Chinese calligraphy tablet images based on run-length statistics and structure characteristic of character strokes

In this paper, a novel approach is proposed for denoising of Chinese calligraphy tablet documents. The method includes two phases: First, a partial differential equations (PDE) based the total variation model and Otsu thresholding method are used to preprocess the calligraphy document image. Second, a new method based on run-length statistics and structure charac- teristics of Chinese characters is proposed to remove some random and ant-like noises. This includes the optimal threshold se- lection from histogram of run-length probability density, and improved Hough transform algorithm for line shape noise detection and removal. Examples are given in the paper to demonstrate the proposed method.

Image segmentation algorithm based on high-dimension fuzzy character and restrained clustering network

An image segmentation algorithm of the restrained fuzzy Kohonen clustering network （RFKCN） based on high- dimension fuzzy character is proposed. The algorithm includes two steps. The first step is the fuzzification of pixels in which two redundant images are built by fuzzy mean value and fuzzy median value. The second step is to construct a three-dimensional （3-D） feature vector of redundant images and their original images and cluster the feature vector through RFKCN, to realize image seg- mentation. The proposed algorithm fully takes into account not only gray distribution information of pixels, but also relevant information and fuzzy information among neighboring pixels in constructing 3- D character space. Based on the combination of competitiveness, redundancy and complementary of the information, the proposed algorithm improves the accuracy of clustering. Theoretical anal- yses and experimental results demonstrate that the proposed algorithm has a good segmentation performance.

Female Ethical Images in The Thorn Birds

Titled as the name of the main characters,the seven parts in The Thorn Birds together tell the story of the three generations of the Cleary family from 1915 to 1969.Fiona and Paddy are the first generation,Meggie and Ralph are the second generation,and Justine and Dane are the third generation.Although they are both thorny birds,they have different personal characteristics and life pursuits.Fiona,Meggie,and Justine,as women,are more and more rebellious from generation to generation.They are more and more daring to fight against the Almighty God and their cruel fates.But at the same time,in the process of pursuing self-happiness,there are also dislocations of ethical identity of these women who inevitably make wrong ethical choices.The author of this thesis tries to analyze the ethical identity of the three generations of women in The Thorn Birds from a relatively comprehensive perspective based on literary ethics,and then analyzes the round ethical image of these female characters.

Translation of Images in Seven-character Quatrains Based on the “Aesthetic Level of Translation”

Image is a term that mainly embodies in the composition of classical Chinese poetry(CCP). Effective translation of images is crucial to the grasp of original meanings in a poem. As aesthetic beauty is the primary concern in poetry,the conveyance of beauty in image has a direct impact in translation. To analyze translation strategies of imagery beauty,the theory of"translation levels"by Xu Jun is adopted as a criterion in comparing variant English versions of CCP in the aesthetic level. Images are selected from Seven-character quatrains typified for abundant sources of images,and features of images are put forward at the aesthetic level. Through the analysis,images are rendered by recreation of the sensuous and emotional beauty.

基于上下文提取与注意力融合的遮挡服装图像分割

针对遮挡服装图像分割准确率低的问题,提出一种融合上下文提取与注意力机制的遮挡服装图像实例分割方法。以Mask R-CNN为基础网络,首先采用上下文提取模块优化ResNet的输出特征,通过融合不同速率的多路径特征从多个感受野中捕获图像的上下文信息,强化遮挡服装特征表示的识别及提取能力;然后引入通道注意力机制与空间注意力机制的残差连接,自适应地专注于捕捉遮挡服装图像的空间和通道维度上的语义相互依赖关系,降低上下文提取模块在处理特征图时因冗余的上下文关系扩大造成误定位与误识别的概率;最后,采用目标检测损失函数CIoU计算原理作为非极大值抑制的评判标准,关注预测框和真实框的重叠与非重叠区域,最大程度地选择遮挡服装的最优目标框,使预测框更加贴近真实框。结果表明,与其它方法相比,改进方法显著改善了不同遮挡程度服装图像的误分割现象,能提取出更精确的服装实例,其对遮挡服装图像的平均分割精度比原模型提升了4.4%。

中国美学精神与中国电影的审美表达

中国美学精神与中国电影的审美表达存在着紧密的关联。作为一种审美意识和美学思想,中国美学精神影响着中国艺术创作思维与审美品格的形成。中国电影审美品格的铸造同样离不开中国美学精神,它不仅作用于中国电影的审美认识,还为中国电影的创作实践提供了方法与路径。具体而言,中国美学精神不仅决定了中国电影的镜语形式、影像形象的审美倾向,也影响着中国电影的内在旨趣与价值表达。

《水浒传》中经典人物的形象塑造及其英译研究——以沙译鲁智深为例

聚焦于《水浒传》核心人物——鲁智深的形象,通过考察原作和沙博理(Sidney Shapiro)译本中对鲁智深形象的塑造,发现沙译总体上能够再现原作的语言、动作和心理描写,从而构建出相似的人物形象。作为翻译家,沙博理对英语语言的驾驭之精湛在处理某些汉英转换时体现得淋漓尽致;但作为英语母语译者,沙译无法彻底避免因语言文化障碍而对部分形象描写的处理存在误译或死译之嫌,有时这甚至会损毁经典人物形象从原作向译作的“移植”。

历经磨难 奋发向上——大卫·科波菲尔的形象

大卫·科波菲尔是19世纪英国批判现实主义文学家狄更斯带有自传性质的长篇小说《大卫·科波菲尔》的主人公,小说描写了大卫苦难的童年生活,刻画了他善良正直乐于助人的性格特征,突显了他刻苦努力、拼搏进取、奋斗成才的可贵品质,描绘了当时英国社会的现状,批判了金钱对婚姻、家庭和社会的腐蚀作用。大卫的形象堪称世界艺术宝库中的珍品,蕴含着深刻的审美价值和思想意义,揭示了有奋斗才会获得成功的人生哲理。

辽西民间布老虎视觉造型参与式设计

解决在相关设计中存在缺少深入的田野调研、设计成果的创新性不够明显,以及与中国传统文化的融合程度不够深入等问题,并结合上述问题通过参与式设计实现非物质文化遗产的创新性传承。邀请辽西民间布老虎非遗传承人伊宁老师共同进行布老虎视觉造型设计,通过半结构化访谈的方式以及对调研资料的分析,共同探讨我国民间布老虎视觉形象的设计方法。虎文化是民间布老虎视觉形象设计的关键,也是展开设计工作前需要重点了解的内容。以布老虎的五官造型为案例进行分析,提炼传统布老虎的面部造型元素,并将其应用到新的形象设计中。在此基础上,本研究运用问卷调查法和半结构化访谈法,经过基础调研和访谈,总结归纳辽西地区民间布老虎的视觉形象设计重点,其主要表现为3个核心内容,分别是五观优化、设计创新、保留特色。