Research on non-destructive testing method of silkworm cocoons based on image processing technology

With the development of electronic technology, computer software and hardware technology, image processing and technology related to human vision, the technology of machine vision image processing has also achieved rapid development. With the rapid development of science and technology, digital image processing technology has been widely used in various fields, among which image segmentation is an extremely important technology. Image segmentation is an important intermediate technology in digital image processing. It relies on the underlying technology of image digital processing to serve high-level applications such as pattern recognition. Processing the information interaction between machine and the real world is the first step in the study of artificial intelligence, and the goal of computer vision research is to make the computer have the ability to perceive and understand image information similar to human. This paper expounds the basic principle of image segmentation technology, analyzes and discusses the methods of image segmentation, and studies the application of image segmentation technology in digital image processing.

This work investigates digital image processing technology and presents a super-resolution image reconstruction approach to increase the logic of urban and rural planning spatial layout. Furthermore, this work integrates GIS technology with super-resolution image reconstruction techniques to create a digital image processing and GIS-based urban and rural spatial layout design model. In addition, this paper mathematically expresses the objects and scenes that need to be simulated as a collection of three-dimensional graphic objects stored in the computer. The platform is constructed with a three-tier system of B/S architecture, and the logical structure of the entire system is composed of the client, application server, database server, and other functional servers. Furthermore, this paper constructs the functional structure of urban and rural spatial layout planning model based on digital image processing and GIS technology and verifies the model in this paper through experimental research. The experimental statistical results verify the reasonableness of the model in this paper.

The history of Chinese ceramics has become the representative of southern ceramics with its unique celadon carving, black glaze mining, painting, printing and other decorative styles. Minnan architectural ceramics are fresh carriers, samples and memories of Chinese cultural symbols and aesthetic habits. Based on the digital image processing technology, this paper analyzes the decorative patterns of southern Fujian architectural ceramics, introduces the digital image calibration principle and sampling quantification method used in the decorative patterns of southern Fujian architectural ceramics, and then uses image segmentation and binarization analysis, color digital image processing and analysis technology to discover the abstract beauty of Minnan ceramic ornamentation.

The quality of optics' surface is of an important character which has critical influence in optical system. There are many ways to detect surface quality, but interferometry is considered as an effective technology. Interfere fringes which obtained from our experiment based on equal thickness interference were processed with digital image processing (DIP) technology in this paper. Image smoothing, fringes thinning, fringes' space measurement and P-V value measurement were done in this processing, Which can give optics' surface information automatically and accurately. We measured some optics whose apertures are not more than 30mm, and the result is satisfactory. Our method will be widely used in industrial inspection, especially in optical works in the future.

In recent years, the level of science and technology in China has been significantly improved. Digital image processing technology is the product of the times with the rapid development of science and technology, and has been applied in many fields. Digital image processing technology includes many practical technologies, and image segmentation technology is one of them. At present, the widely used pattern recognition technology is realized by image segmentation technology. Based on this, this paper mainly studies the application of image segmentation technology in digital image processing. This paper first introduces the methods of image segmentation, including threshold segmentation, clustering segmentation and edge detection segmentation. Secondly, according to a need to extract a road image for image segmentation, and achieved very good results. Finally, this paper mainly analyzes the application of image segmentation in digital image processing. It is found that image segmentation has good application in automatic license plate recognition, biomedical engineering, remote sensing engineering and fire prevention and detection.

With the development of information technology, people access information more and more rely on the network, and more than 80% of the information in the network is replaced by multimedia technology represented by images. Therefore, the research on image processing technology is very important, but most of the research on image processing technology is focused on a certain aspect. The research results of unified modeling on various aspects of image processing technology are still rare. To this end, this paper uses image denoising, watermarking, encryption and decryption, and image compression in the process of image processing technology to carry out unified modeling, using wavelet transform as a method to simulate 300 photos from life. The results show that unified modeling has achieved good results in all aspects of image processing.

The realization of automatic control system of releasing flocculating agent is one of the bottlenecks in the automation process of waterworks. For various reasons, most of waterworks in China decide the dosing amount just by artificial methods, which may lead to great subjectivity. It can result in direct economic losses and threaten residents’ drinking water safety. To solve the problem, based on digital image processing and pattern recognition technology, the paper presents an advanced and practical automation scheme, trying to control the releasing of flocculating agent. According to the characteristics of alum images captured from waterworks, by comparing the effects of many vision algorithms, the paper selects a suitable combination and tries to implement it with EmguCV. On next step, the paper implements feature selection and classification with LibSVM. The experiments show that, the system designed in this paper is reasonable and feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2299

The digital image acquisition and processing technology already mature also in domains and so on visual communication obtains day by day[1]. However, the image acquisition and processing technology had many kinds, for example white balance processing and image denoising methods. The traditional image acquisition and processing systems are implemented using software by the PC or DSP chip[2], and sometimes software in series can not meet the requirement of high speed image processing. this article has given FPGA in the image acquisition and processing simple application, applied FPGA in the image acquisition and processing to be possible to enhance the image processing the speed, reduced takes the logical unit. The system designed by above-mentioned way achieves a satisfying effect by experimental verification.

In order to determine the number and depth of grooves in a grooved acetate filter rod,a method based on digital image processing technology was proposed.Aiming at the irregular shape of the end slice of the filter rod,a complementary image fusion algorithm was designed to improve the recognition rate and accuracy of characteristic region.The results indicated that this method completely met the requirements for determination of characteristic parameters of grooved filter rod,the determination accuracy of groove depth was up to 0.01 mm.

Soil-rock mixture slope is a common type of slope in nature, which has obvious heterogeneity and discontinuity. Rheological property of soil is one of the main causes leading to the soil-rock mixture slope deformation and instability. But almost all the existing analyses on the stability of soil-rock mixture slopes neglect the rheological properties of soil. Using digital image processing technology, a soil-rock mixture slope model in the reservoir area of one hydropower station in China is built. Then the strength reduction method in FLAC3D code is adopted to analyze the slope stability. The analysis mainly focuses on the creep characteristics of soil and the effect of the creep parameters on the deformation and stability of the soil-rock mixture slope. The results show that the rheological property of soil can obviously reduce the factor of safety of the soil-rock mixture slope, increase the deformation of the slope, and adversely affect the stability of the slope. The creep viscosity coefficient has a great influence on the long-term stability of slope, and the greater the viscosity coefficient is, the lower the safety factor is.

Research on Intelligent Glue-coating Robot Based on Visual Servo

The human–machine interface with head control can be applied in many domains. This technology has the valuable application of helping people who cannot use their hands, enabling them to use a computer or speak. This study combines several image processing and computer vision technologies, a digital camera, and software to develop the following system: image processing technologies are adopted to capture the features of head motion; the recognized head gestures include forward, upward, downward, leftward, rightward, right-upper, right-lower, left-upper, and left-lower; corresponding sound modules are used so that patients can communicate with others through a phonetic system and numeric tables. Innovative skin color recognition technology can obtain head features in images. The barycenter of pixels in the feature area is then quickly calculated, and the offset of the barycenter is observed to judge the direction of head motion. This architecture can substantially reduce the distraction of non-targeted objects and enhance the accuracy of systematic judgment.

This paper gives a point to detect transmission line broken stocks defect problems by using image processing and recognition technology, which has obtained the good effect in tests. By comparing with a set of template, the wire broken stocks defects can be extracted from the complex background identify. The method can be applied to power line inspection by helicopters and unmanned aerial vehicle (uav) in a variety of ways.

The utilization of waste and renewable oils as asphalt modifiers is a crucial strategy for achieving sustainable development in pavement engineering. However, the different physicochemical effects exerted by oil sources (bio-based versus petroleum-based) on the asphalt–aggregate interface remain insufficiently understood. This study aims to elucidate the influence mechanism of two bio-based oils and two petroleum-based oils on asphalt adhesion and the pavement performance of mixtures. A quantitative evaluation method combining the boiling test with digital image processing (DIP) technology was developed to assess the anti-stripping performance of modified asphalt on different lithological aggregates (acidic granite and alkaline limestone). Additionally, Fourier transform infrared spectroscopy (FTIR) was employed to reveal the chemical evolution of the modified asphalt. The results indicated that, although all oil-based modifiers demonstrated excellent compatibility and storage stability with the base asphalt (segregation ratio < 5%), their adhesion properties were significantly influenced by aggregate lithology. The key finding was that, compared to petroleum-based oils, bio-based oils exhibited superior adhesion performance on acidic granite surfaces, markedly mitigating moisture-induced stripping. FTIR analysis confirmed that this enhancement was attributable to the aromatic and carbonyl functional groups introduced by bio-based oils, which effectively promoted the interfacial bonding. Furthermore, bio-oil-modified mixtures exhibited optimal low-temperature cracking resistance without compromising high-temperature stability. These findings elucidate the mechanism by which bio-oil enhances the water-damage resistance of acidic aggregate systems, providing a theoretical basis for the optimized selection of sustainable asphalt modifiers.

Currently widely used SF6 inflatable equipment pressure gauge are short pointer and the pointer is not connected to the center of the dial (non-linear pointer), The position of the hands on this dial cannot be identified using traditional computer vision techniques. In order to solve the problem, This paper proposes a method for SF6 pressure gauge pointer and reading recognition based on digital image processing and Mask-RCNN neural network image segmentation technology. The method first pre-processes the SF6 pressure gauge image and Canny edge detection, while using Mask-RCNN network to extract the pointer feature information and scale feature information, and uses the SF6 pressure gauge pointer feature and scale feature to calculate the pressure gauge reading. The effectiveness of the algorithm is verified through the scale identification of 180 short pointer SF6 pressure meters actually operated in a 220kV substation with 100% accuracy.