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Optical Coherence Tomography (OCT) is a noninvasive technique and depth-resolved imaging modality which is a prominent ophthalmic diagnostic tool. In this paper, an automated segmentation algorithm to detect few intra-retinal layers which are important for Edema detection present in Spectral Domain Optical Coherence Tomography (SDOCT) images is presented. An algorithm for accurate segmentation of...
The traditional artificial cigarette review methods are difficult to match the high-speed automatic cigarette sorting system. In this paper, a new cigarette recognition method using the uniqueness of cigarette bar codes was proposed. Firstly, a binary image filtering algorithm based on square adaptive structure element of mathematical morphology (SASEMM) was used to get several potential sub-regions,...
According to the problems that there are low detection rate and high false reject rate based on traditional image processing algorithms, this article proposes a method that combines SSDA and character contour searching algorithms to recognize the digital segment codes' large flaws and extract characters in the VFD image, and by image subtraction, maximum between-cluster variance (Otsu) and mathematical...
Noise variation is an important parameter for many image denoising algorithms. This paper proposed a new two-step noise variation estimation algorithm based on image segmentation. In the first step, noisy image was smoothed and segmented by statistical region merge (SRM) algorithm. Then variation of every region was computed, and some regions were selected based on statistical rule to estimate the...
In this paper, we present a new adaptive boundary filtering which is an improvement of the bilateral filtering algorithm. Bilateral filtering is an algorithm that is used for smoothing and preserving the edges in an image. This algorithm has proper capability when using with normal surface that have less number of regions. For texture area, many complicated regions are packed together e.g., hair and...
In order to significantly remove noise, many computer vision algorithms require that the image noise level is known. In this paper, we present two simple but effective methods to automatically estimate the noise level from a single image using improved adaptive graph-based segmentation. The first method can estimate the noise standard deviation of image contaminated by Gaussian noise or natural noise...
Designing a robust and efficient thresholding algorithm for far-infrared (FIR) images under various imaging conditions is one of critical technologies. The existing algorithms are difficult to deal with the images corrupted by noise, if a predefined filter is not used. However, it is difficult to define an appropriate filter beforehand because some prior knowledge about image noise is required. To...
According to the cursive code and leakage code defects of VFD characters display, This article proposes a new defect detection method. Firstly, we make use of pre-processing to original image. Then using binary morphological processing before recursive region growing method to mark the connected domins labeling. Finally calculate count of the VFD character display defects. According to the number...
According to the PCB image feature in a PCB defect detection project, we studied a new image enhancement algorithm: double sigmoid transformation and also deduced the transformation arithmetic operator. Practical project experiments show that the new algorithm can effectively sharpen PCB image edges, at same time it can filter out noise in the image. Even if the original PCB image is not distinct...
Hemangioma is one of the most common benign congenital complications of the human body which can arise in interior organs and external limbs. The main aim of this work is to present a new method for automatic detection of liver hemangioma and its boundaries in ultrasound images, using image processing techniques. Overall there are two phases, the preprocessing procedure and the boundary delineation...
A new detection method is presented for the detection of dim small targets from infrared image sequences is presented. Firstly, Robinson guard filter suppresses the background clutter in single frame. Secondly, a auto-adaptive threshold algorithm is applied to segment the potential targets from background. Finally, the bi-direction chain is used to identify the real target base on the continuity of...
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
In this paper a hybrid denoising algorithm which combines adaptive bilateral Filter and Bayesian thresholding for digital images corrupted by Gaussian noise is proposed. The wavelet filter bank is used to decompose the image into approximation sub band and detail sub band. The adaptive bilateral filter is applied to approximation sub band and Bayesian thresholding is applied to detail sub band. The...
The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected...
In this paper we propose a new algorithm to reduce the impulse noises in images. It contains two separated steps: impulse noise detect step and filter step. In impulse noise detect step we use the fuzzy gradient method with new fuzzy rules to distinguish the noise pixels and edge pixels; and filter step employs a novel adaptive median filter whose size is controlled by the number of interesting pixels...
Based on Canny operator and mathematical morphology, a new cell-based method for extracting the edge, being crucial to subsequent target feature extraction and image matching recognition, has been discussed in this paper. The image edge of cell is estimated by the Canny algorithm and then mathematical morphology is used for dilation which filled the fracture of the edge, with that the internal pore...
Characteristics of the lesions in digital mammography images will be more clear after image enhancement, which can increase the detection rate of early breast cancer. This paper proposes a modified unsharp masking approach based on an improved high-pass filter. Experimental result of digital mammography image enhancement proves that the proposed method can effectively extrude the edges of lesions...
Because the remote sensing image has a lot of noise in its imaging and transferring, image denoising is an important aspect for its processing. A new Bayesian denoising algorithm for remote sensing image based on undecimated discrete wavelet transform (UDWT) is presented in this paper. The Bayes shrink threshold is derived in a Bayesian framework, and the prior used on the wavelet coefficients is...
As today's digital cameras contain millions of image sensors, it is highly probable that the image sensors will contain a few defective pixels due to errors in the fabrication process. While these bad pixels would normally be mapped out in the manufacturing process, more defective pixels, known as hot pixels, could appear over time with camera usage. Since some hot pixels can still function at normal...
Considering the requirements of real time and robustness for the segmentation algorithms for mobile robots, an optimal threshold segmentation algorithm based on mathematical morphology was studied. Two improved measures, i.e., introducing an improved combination filter of median and multi-scale, and increasing morphological opening and closing operation, were proposed for the general optimal threshold...
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