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We propose a multiscale extension of a well-known line segment detector, LSD. We show that its multiscale nature makes it much less prone to over-segmentation, more robust to low contrast and less sensitive to noise, while keeping the parameterless advantage of LSD and still being fast. Moreover, we show that in scenes with little or no feature points, but where it is however possible to perform structure...
Many text segmentation methods are elaborate and thus are not suitable to real-time implementation on mobile devices. Having an efficient and effective method, robust to noise, blur, or uneven illumination, is interesting due to the increasing number of mobile applications needing text extraction. We propose a hierarchical image representation, based on the morphological Laplace operator, which is...
This paper presents a technique for incorporating local data and membership information into the standard fuzzy C-means (FCM) algorithm. The objective function associated with the technique consists of a modified version of the standard FCM function plus a weighted regularized FCM-like one. In the first function, the Euclidian pixel-to-cluster distances are computed using the original data. However,...
Saliency detection is to find the most important object automatically according to the human visual in the unknown scene. Most existing algorithms detect the salient object using various salient object features. In this paper, we present a novel saliency detection method by an iterated graph Laplacian based ranking on manifolds to determine whether the region is salient or not. Firstly, we segment...
Traffic Sign Recognition (TSR) system is a vital component of intelligent transport system. It plays an important role by enhancing the safety of the drivers, pedestrians and vehicles as traffic signs provide important information of the traffic environment of the road and assist the drivers to drive more safely and easily by guiding and warning. This paper represents road sign detection and recognition...
Sparse decomposition has been widely used for different applications, such as source separation, image classification and image denoising. This paper presents a new algorithm for segmentation of an image into background and foreground text and graphics using sparse decomposition. First, the background is represented using a suitable smooth model, which is a linear combination of a few smoothly varying...
Palmprint can be extracted from a hand using a low-cost webcam in a contactless manner. Using a webcam makes the enrollment process fast and convenient for users. Being contactless solve the hygiene issue and avoid copying the latent prints from sensor's surface. However, a number of challenges arise in such environment; geometric transformations, the existence of finger rings, hand accessories, and...
Indirect immunofluorescence (IIF) analysis is the most effective test for antinuclear autoantibodies (ANAs) analysis, in order to reveal the occurrence of some autoimmune diseases, such as connective tissue disorders. In the tests of antinuclear antibodies, the human epithelial type 2 (HEp-2) cells is mostly used as substrate. However, the recognition of the staining pattern of ANAs in the IIF image...
Robust vessel segmentation of fundus images is of great interest for better diagnosis of many diseases like diabetic retinopathy, retinopathy of prematurity, vein occlusions and so on. In this paper, we propose a novel example-based vessel segmentation method, based on learning the mapping relationship between fundus images and their corresponding ground truths. Firstly, the training images and their...
Convolutional Neural Network (CNN) has been used successfully in solving different computer vision tasks such as classification, detection, and segmentation. This paper addresses the problem of estimating object depth from a single RGB image. While stereo depth estimation is a straightforward task, predicting depth map of an object from a single RGB image is a more challenging task due to the lack...
Breast cancer occurs to 8% women during their lifetime, and is a leading cause of death among women. Breast ultrasound (BUS) image segmentation which is the essential process for further analysis, is a very challenging task due to the poor image quality. In this paper, we propose a new segmentation scheme to combine both region- and edge-based information based on the robust graph-based (RGB) segmentation...
Precise segmentation of Pap smear cell nucleus is crucial for early diagnosis of cervical cancer. This task is particularly challenging because of cell overlapping, inconsistent staining, poor contrast and other imaging artifacts. In this study, a novel method is proposed to segment cell nucleus from overlapping Pap smear cell images. The proposed technique introduces a circular shape function (CSF)...
Ecologists commonly use photo-identification of individual animals to monitor the behaviour, state and health of a population, since it is a cost-effective technique that eliminates the need to physically capture and tag animals. With dolphins, the nicks and notches of the dorsal fin are typically used as the unique identifying features for each individual; however New Zealand common dolphins are...
In welding inspection and control, radiography imaging technique is one of the most popular methods used in this area. It has a vital role in the detection and the extraction of flaws which may affect the well functioning of many systems. Radiography image processing becomes a difficult task with conventional methods due to the low contrast between flaws and its background, non uniform illumination...
Identification of forged images paid sufficiently great notice among the application of image analysis in digital forensic science. Image forgery detection is piled up by the necessity of authenticity and to preserve integrity of the images. And in majority of the cases copy-move image forgery technique is used to alter the digital image, in which a portion of the image is copied and pasted somewhere...
The development of a fully automated robotic endoscopic steering system has been an active area of research for more than a decade. This paper aims at proposing a hardware-efficient iterative thresholding strategy to locate the lumen region in captured endoscopic images in order to enhance traditional endoscopes with certain degree of autonomy and intelligence. The proposed method is characterized...
This paper presents an alternative criterion derived from the least squares projection twin support vector machine (LSPTSVM) for image segmentation. The proposed model treats image segmentation as pattern classification problem, and hence tries to seek the projected axis and center for the foreground and background intensities respectively. With level set representation, the discriminative function...
The paper presents a very simple and efficient way of color style transfer of a video using a reference image. Style transfer changes the mood of look and feel of video. Here, in this paper instead of RGB color space, for style transfer oRGB is used which is much more robust compared to other color spaces. Then the color space is segmented using an unsupervised k-means algorithm. Later, each cluster...
AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag...
We present a method for multi-class segmentation from RGB-D data in a realistic warehouse picking setting. The method computes pixel-wise probabilities and combines them to find a coherent object segmentation. It reliably segments objects in cluttered scenarios, even when objects are translucent, reflective, highly deformable, have fuzzy surfaces, or consist of loosely coupled components. The robust...
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