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Quartz wafer inevitably produces various physical defects in the production process. This paper focuses on the quartz wafer dirt defects, and proposes a way for image processing on the quartz wafer by using of computer vision library OpenCV. The proposed method is to find contours of the processed images to judge whether there is dirt or not. Experiments show that this method can well detect the dirt...
When capturing images from the microscope imaging system, the images captured are blur and the information in the images is lost due to noise interference in the collection process. The process of microscopy imaging and the algorithm of microscope image denoising based on wavelet transform are discussed in this paper. Spectrum value and noise variance are used to evaluate the denoising effect. The...
Properties and performances of associative memories, based on Complex-valued Synergetic Computer (CVSC), are explored in this paper. In the proposed CVSC, the state vectors, prototype vectors and order parameters are encoded by complex values. This CVSC is extended from the conventional Synergetic Computer (RVSC) in which the order parameters produce real values in processing real-valued input and...
This thesis makes analysis through digital image processing, in which methods such as Median Filtering Noise Reduction, Sectoring Threshold Segmentation, Logical Values Match and so on are put into use to process the digital image data of barcode and to implement its fast identification. Automatic identification technology of barcode has the advantage of low cost and has been being widely used in...
The study has proposed a novel and innovative system that uses image processing techniques for converting an imprinted Braille pattern into natural language character. The processing takes place through a series of steps implemented in MATLAB. The major step is the removal of noise from the scanned image of an imprinted Braille pattern and other artifacts and then segmenting the scanned image to yield...
This study provides a method to detect the smoke in a field by computer vision. The software of smoke extraction is developed by using the graphical programming language. In processing the video images, it utilizes the HSI model to extract statically and dynamically the pixels of the smoke with specific saturation. The other pixels that are filtered off are regarded as the backgrounds. Elimination...
In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft...
It is a frequently encountered problem to calculate the area of target region in image processing. Based on an improved algorithm of contour extracting, a method for calculating the area of target region was advanced. First, the contour is extracted from the binary image, while note the location and type information of the contour points. Next, the area of target region is calculated by weighting...
Visual textual CAPTCHAs have been widely used on Internet banking in China to defend against malicious bot programs. In this paper, four categories of representative CAPTCHAs are chosen to break. We present an efficient method for solving visual textual CAPTCHAs using image processing techniques and instance learning, such as graying, thresholding, interference noises removing, segmentation, character...
Corner detection is a basic task in the field of image processing. This paper proposes a new corner detection method based on the curvature computing, called Curvature Statistic (CS) method. The edge points which have the maxima of absolute curvature are defined as corners, so curvature of every edge point is computed in CS. The first step is to use Canny edge detector to extract edges of original...
Speckle noises often appear in ultrasound and SAR images and demand for speckle reducing in real-time is increasing in many applications. In this paper, we propose a method for speckle noise reducing using Cellular Neural Network Universal Machine. This exploits the advantages of hybrid parallel/serial computing structure of CNN in real-time image processing.
In the image processing of a vision three-dimensional (3D) coordinate measurement system which is consisted of a CCD camera, a computer and a special light pen with several LEDs, unknowable noise images hold the way to get the image of LEDs out of the original image in data processing of the system. It is intolerant in real-time measurement system to use a usual method of recognizing object which...
To the pipeline welding defect detection, robot tracking weld reliably, the welds original image acquired by visual sensor need pretreatment to eliminate the impact of noise. A pipeline welding machine vision detection system proposed in this paper. With the help of embedded computer and takes full use of the traditional ultrasonic-testing device, FPGA, USB, electronic technology and wavelet transform...
In our approach, we propose to process the mean arterial pressure recordings like a signal but yet do analysis like an image in order to differentiate recordings from patients using pressors to treat their acute hypotension and from patients with no such conditions. Mean arterial pressure values recorded over time is numerical representations over time and hence signal processing techniques can be...
We describe whiteboard content capture system from Presentations Automatically Organized from Lectures(PAOL) that captures content within the setting of a classroom environment. The system acquires a sequence of images from high-resolution, fixed view cameras and extracts a series of content-rich key frames. The key frames are derived by analyzing the camera images of the front of the room, selecting...
Paper cut-out is a traditional folk art with long history in China. This paper proposes an efficient method to recognize the decorative pattern adaptively from the Paper cut-out image and plan to build a paper cut-out system based on recognized decorative pattern. For the paper cut-out image is acquired by scanning books, we propose a method to recognize the decorative pattern and attain the goal...
Many authors used different techniques for image restoration. Variational approaches are mainly used for this purpose. For example, the Mumfort-Shah is a model type for the free discontinuity in the restoration and segmentation of images. The main characteristic of this model is the isotropic diffusion, minimizing the length of the boundaries, while the classical models due to Rudin-Osher-Fatmi, minimize...
In many DSP applications (image and voice processing, baseband symbol decoding in high quality communication channels) several dBs of SNR loss can be tolerated without noticeable impact on system level performance. For power optimization in such applications, voltage overscaling can be used to operate the arithmetic circuitry slower than the critical circuit path delay while incurring tolerable SNR...
In this Paper we have presented a Fingerprint verification system based on hybrid approach which combines both the Feature extraction by applying a set of different wavelet families (functions) and minutiae information available in the fingerprint image by fusion rule method. The Core Point (CP) of the input Fingerprint is detected. Keeping the CP in the center,the image of size w x w is cropped and...
Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recognition and event detection. In this work, we present a point spread function-based (PSF-based) approach considering fundamental characteristics of linear motion and out-of-focus blur based on geometric optics to restore coexisting motion...
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