Strip steel surface defect detection is a critical step in the production field of industry and vital guarantee to improve quality strip production. However, due poor contrast images, diversity types, scales, texture structures, irregular distribution defects, it difficult achieve rapid accurate defects with existing methods. In this article, network for based on deformable convolution attention mechanism (DCAM-Net) proposed. First, we introduce limited adaptive histogram equalization...

The classification of benign and malignant based on ultrasound images is great value because breast cancer an enormous threat to women’s health worldwide. Although both texture morphological features are crucial representations tumor images, their straightforward combination brings little effect for improving the since high-dimensional too aggressive so that drown out low-dimensional features. For that, efficient feature combing method proposed improve malignant. Firstly, (i.e., local binary...

In strip steel production, detecting surface defects is crucial for ensuring product quality and optimizing production line efficiency. However, complicated by the variations in size, complex structures, wide range of defect morphologies present steel. To tackle these challenges, this paper proposes a detection network via adaptive focusing features (AFF-Net). Firstly, an feature block (AFF-Block) proposed, which applies "Diffusion-Aggregation" thought. This repositions adaptively assigns...

A non-iterative spatial phase-shifting algorithm based on principal component analysis (PCA) is proposed to directly extract the phase from only a single carrier interferogram. Firstly, we compose set of phase-shifted fringe patterns original interferogram shifting by one pixel their starting position. Secondly, two uncorrelated quadrature signals that correspond first and second components are extracted interferograms PCA algorithm. Then, modulating calculated arctangent function signals....

We report on a novel acoustic radiation force orthogonal excitation optical coherence elastography (ARFOE-OCE) technique for imaging shear wave and quantifying modulus under (ARF) using the tomography (OCT) Doppler variance method. The ARF perpendicular to OCT beam is produced by remote ultrasonic transducer. A induced propagates parallel beam. method, which sensitive transverse vibration, used measure ARF-induced vibration. For analysis of modulus, method utilized visualize propagation...

The thyroid ultrasound standard plane (TUSP) classification is quite essential for the diagnosis of disease. traditional method relies entirely on ultrasonography doctor to do it manually, which not only time-consuming and labor-intensive but also subjectively influenced by doctor's experience knowledge reserve. Therefore, a TUSP automatic desirable in clinical ultrasound. In this paper, we proposed that using deep learning convolutional neural network (CNN) achieve images, effect CNN models...

The analytical expressions for the average bit error rate and outage probability of a heterodyne differential phase-shift-keying underwater wireless optical communication (UWOC) system are derived with proper consideration all channel-degrading effects, including absorption, scattering, turbulence-induced fading. scintillation index spherical wave is evaluated in order to quantify performance strong turbulence regime. propagating through environment modeled as gamma-gamma distribution. Then,...

In this paper, a joint feature and similarity deep learning (JFSDL) method for vehicle reidentification is proposed. The proposed JFSDL applies siamese network to extract features an input image pair simultaneously. learned under the identification verification supervision. supervision realized by linearly combining two softmax functions one hybrid function. Moreover, based on function, score between also obtained simultaneously projecting element-wise absolute difference multiplication of...

Underwater images suffer from serious color distortion and detail loss because of the wavelength-dependent light absorption scattering, which seriously influences subsequent underwater object detection recognition. The latest methods for image enhancement are based on deep models, focus finding a mapping function subspace to ground-truth subspace. They neglect diversity conditions leads different background colors images. In this paper, we propose Class-condition Attention Generative...

Optical coherence tomography (OCT) is an emerging noninvasive imaging technique, which based on low-coherence interferometry. OCT images suffer from speckle noise, reduces image contrast. A shrinkage filter wave atoms transform proposed for reduction in images. Wave a new multiscale geometric analysis tool that offers sparser expansion and better representation containing oscillatory patterns textures than other traditional transforms, such as wavelet curvelet transforms. Cycle...

Cell counting plays a vital role in biomedical researches. However, manual cell is time-consuming, laborious, and low efficiency has high error rate problem. An automatic approach for Hela cells of phase-contrast microscopic images proposed based on the combination Otsu watershed segmentation methods to solve mentioned issues. Firstly, image preprocessing performed. Secondly, method was used obtain an global optimal threshold achieve batch images. Thirdly, marker performed separate adherent...

We propose an effective method to boost the accuracy of multi-person pose estimation in images. Initially, three-layer fractal network was constructed regress joints location heatmap that can help enhance image region with receptive field and capture more local-contextual feature information, thereby producing keypoints intermediate prediction optimize human body regression results. Subsequently, hierarchical bi-directional inference algorithm proposed calculate degree relatedness (call it...

Prostate cancer is one of the most common cancers in men. Early detection prostate key to successful treatment. Ultrasound imaging suitable methods for early cancer. Although ultrasound images can show lesions, subjective interpretation not accurate. Therefore, this paper proposes a transrectal image analysis method, aiming at characterizing tissue through processing evaluate possibility malignant tumours. Firstly, input preprocessed by optical density conversion. Then, local binarization...

A real-time complex amplitude reconstruction method for determining the dynamic beam quality M2 factor based on a Mach-Zehnder self-referencing interferometer wavefront sensor is developed. By using proposed method, full characterization of laser beam, including (intensity profile) and phase information, can be reconstructed from single interference pattern with Fourier fringe analysis in one-shot measurement. With amplitude, fields at any position z along its propagation direction obtained...