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It is meaningful to find an effective method to solve the problem of underwater image detail loss and contrast decrease caused by turbulence. In this work, we present a novel method to enhance edge and the contrast of the image. First, we separate the high frequency and low frequency parts of underwater image by using the HWD, and then we remove the image noise and enhance the edge of images. We also...
In this paper we propose a new solution to the text detection problem via border learning. Specifically, we make four major contributions: 1) We analyze the insufficiencies of the classic non-text and text settings for text detection. 2) We introduce the border class to the text detection problem for the first time, and validate that the decoding process is largely simplified with the help of text...
Fully convolutional neural networks (FCNs) have shown outstanding performance in many dense labeling problems. One key pillar of these successes is mining relevant information from features in convolutional layers. However, how to better aggregate multi-level convolutional feature maps for salient object detection is underexplored. In this work, we present Amulet, a generic aggregating multi-level...
A life log is a record of human life and behavior as digital data. In recent years, it has become possible to collect easily life logs by wearable devices. There is reflection of information as one of usage of these life logs. Among them, reflection by images is easy to understand. However, when recording for a long time by automatic photographing, the number of images becomes enormous, and it is...
In the field of big data applications, image information is widely used. The value density of information utilization in big data is very low, and how to extract useful information quickly is very important. So we should transform the unstructured image data source into a form that can be analyzed. In this paper, we proposed a fast image retrieval method which designed for big data. First of all,...
Robotic systems offer an attractive solution for a large spectrum of real-world applications that are hosted in dangerous or inaccessible areas for humans. In such applications, one of the fundamental tasks is to detect and mark particular features (e.g., pollution areas) in order to develop a proper response. In this paper, we focus on the specific problem of environmental edge detection using a...
In this paper, we suggest methods of automated screening system for cervical cancer to support cyto-pathologists because there is the lack of number of pathologists. It is important to extract nuclei accurately for the automatic diagnosis supporting system. Cells firstly need to be divided into the blue cells and red ones because cells are dyed in different colors based on type of cell: superficial,...
The main objective of this working is to bring a novel resolution for the quadrilateral pattern fixing problem providing endless advantages to that including the capture of the strings on license areas at the all sorts of time zones in the all assorted states of ambience conditions involving foggy, snowy and darkness forms. Blender system of our technics applied a well-recognizing differentiation...
This paper assesses the estimation of the orientation of a camera rigidly attached to a vehicle body using vanishing points and then uses the estimated rotation to rectify images for navigation in indoor environments. The approach is facilitated by the fact that many indoor environments are rich in vertical and horizontal lines that are used for detecting vanishing points. The performance of the monocular-based...
Multiple objects detection and tracking are amongst the most important tasks in computer vision-based surveillance and activity recognition. This paper proposes a real-time multiple objects detection method and compares its performance with three existing methods. ‘Good Features to Track’ algorithm is used to extract feature points from each frame. Based on the motion-based information, feature points...
This paper aims to develop an effective flower classification approach using the technology of feature extraction. With this regard, a fused descriptor based on Pyramid Histogram of Visual Words (PHOW) is used to extract the color, texture and contour information of flower image. Secondly, Dictionary Learning and Locality-constrained Linear Coding (LLC) are operated on PHOW feature and then images...
The importance given to the safety of railway transportation and the maintenance of railway components is also increasing as railway transportation is widespread all over the world. The most basic measure is to take to reduce railway accidents is to check the railway components at regular intervals. The identification of railways with advanced technology, unlike traditional methods, has made a great...
This paper introduces a novel algorithm that can achieve close-range landmine detection using Ground Penetrating Radar (GPR) data. The proposed GPR feature-based algorithm combines spectral and spatial edge features of the GPR signals to form a new oscillation feature, which can represent the reflection value change between the layers of a C-scan GPR image. The GPR feature-based algorithm detects...
Magnetic Resonance Imaging (MRI) is a means which is used to form cross-sectional pictures of internal organs using strong magnetic fields, radio waves, and field gradient. Previously some researches tried to predict the age of humans based on face images, DNA, medical images, speech signals, etc. In this paper, a method is proposed to predict the age of humans based on their MRI image. The main challenge...
Visual inspection of rail fasteners is crucial to rail safety. However, the traditional method in which railway staffs manually inspect the conditions of fasteners is time-consuming and prone to human error. In this paper, we present a method to automatically detect missing rail fasteners from top-view images. Using a top-down approach, coarse bounding boxes of potential fastener areas are first located...
Three-dimensional nerve information is required for the diagnosis of peripheral neuropathy. We have developed a prototype manipulating device and developed an algorithm for extracting peripheral nerves from the ultrasonic wave images captured using this probe and produce three-dimensional median nerve. Unlike the images captured by artificially manipulating the probe, the images captured by our device...
In this paper, we propose an analog circuit for binary neural firing model that can extract various image features. Both computational and hardware models were designed for feature extraction algorithm that explores the dependency of firing rates on the pixel intensity in alignment with inhibition and excitation principles. The circuit for translating each pixel intensity into a series of pulses is...
In recent years, monitoring of coral reef status and health are done with the assist from image processing technique. Since underwater images are always suffer from major drawbacks, research in this area is still active. In this paper, we propose to use edge based segmentation where we modify the original canny edge detector and then use the blob processing technique to extract dominant features from...
Detection of repetitive patterns in images is subject of several research papers. The majority of them deals with detection of lattice patterns of repetitive elements. However, there are many situations, when element's repetition doesn't follow any particular pattern. In this paper we focus on the following two objectives. Firstly, our algorithm detects repetitive elements regardless of their relative...
This article describes a completely new, fully automatic line detector algorithm that takes advantage of look-up tables to recognize and fit straight line patterns. The algorithm first recognizes any possible 4×4 pixel line patterns among the binary edge pixels and then uses several small look up tables to decide whether the connected patterns form a line or not. It is designed for real time processing...
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