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Small infrared target detection in complex backgrounds is a challenging task. Due to dynamic background clutter and low signal-to-clutter ratio, most conventional methods fail to produce satisfactory results. In this paper, an effective spatial and temporal filter is proposed. The spatial filter is used to remove cloud edge, and the temporal filter is used to remove point-like background clutter....
Real-time lane detection and tracking is one of the most reliable approaches to prevent road accidents by alarming the driver of the excessive lane changes. This paper addresses the problem of correct lane detection and tracking of the current lane of a vehicle in real-time. We propose a solution that is computationally efficient and performs better than previous approaches. The proposed algorithm...
Stereo matching is a fundamental task in vision applications. we propose an adaptive cross-scale aggregation method for stereo matching, which is introduced by solving an optimization problem. Unlike the original approach which introduces the same regularization term based on the inter-scale regularizer parameter to control the cost consistency among the multi-scales for all regions of the input images...
Content Based Image Retrieval is a well-known retrieval process in the field of Image processing. CBIR is a special way of finding similar images from huge database. CBIR utilizes three rudimentary features like color, texture and shape which plays an essential role in image retrieval. The effective image retrieval process is the need and number of computations along with the rate of retrieval should...
Person re-identification is a challenge in video-based surveillance where the goal is to identify the same person in different camera views. In recent years, many algorithms have been proposed that approach this problem by designing suitable feature representations for images of persons or by training appropriate distance metrics that learn to distinguish between images of different persons. Aggregating...
Retrieving images depend of specific features In Content Based Image Retrieval (CBIR). A common approach is to divide retrieval process into two stages; the first one is based on high-level features followed by the second that is based on low-level features. We focus primarily on medical images, and follow the above approach but make the following two basic contributions: a) introduce the gray cluster...
We propose a joint intrinsic-extrinsic prior model to estimate both illumination and reflectance from an observed image. The 2D image formed from 3D object in the scene is affected by the intrinsic properties (shape and texture) and the extrinsic property (illumination). Based on a novel structure-preserving measure called local variation deviation, a joint intrinsic-extrinsic prior model is proposed...
People can easily perceive object with incompletion boundary or combination of discontinuous edges. However, common approaches are difficult to segment an entire object without referring to completion contour. This paper introduces a scheme to reify an object based on law of closure in Gestalt psychology. The proposed scheme acquires initial boundaries and edges in advance, and then divides boundary...
An accurate segment-based cost aggregation method is proposed in this paper. Segment-based methods can speed up the procedure according to the assumption that pixels belonging the same segment should share the same physical property. One of the most critical problems of those methods is the limited pixels within the corresponding segment. To enlarge supporting region of aggregation efficiently, we...
This paper is devoted to traffic sign recognition problem in real time. The recognition process consists of three steps. The first step is a search of image parts which probably contain a traffic sign. The second step is about parts extraction and simple classification by shape. The last step consists of classification of extracted parts with previously learned multilayered neural net. The results...
In this paper we present a feasibility study on the detection of a complex shape with good precision/recall, without using depth or color information and with minimal dependence on the machine learning training data set. Specifically, we present an algorithm that supports reliable open palm and fingertip contour line detection that satisfies the aforementioned requirements, using a training set of...
Snow detection and removal from video images is very challenging. Normally the snowflakes affect only on a very small region of an image, hence the confusion to determine which region should be considered and which one should not. In this paper, a frame difference method with five successive frames is first presented to detect the snow pixels from image background, but the method didn't work well...
Target segmentation is the basic work of the synthetic aperture radar (SAR) image interpretation. As for aircraft, it is difficult to accurately extract the target from the background due to its complex structure. This paper proposes a refined segmentation method for aircraft target, in which the ratio of exponentially weighted averages (ROEWA) operator is used to produce the edge map and the shape...
In this paper the problem of corneal endothelium image segmentation is considered. Particularly, a fully automatic approach for delineating contours of corneal endothelial cells is proposed. The approach produces one pixel width outline of cells. It bases on a simple feedforward neural network trained to recognize pixels which belong to the cell borders. The edge probability (edginess) map output...
In this study, we propose a novel shape-based traffic sign detection method which consists of two stages. First, a rotational symmetry voting scheme is proposed to detect the centers and boundary sets of the candidate polygons in the image. Second, a Link Distribution (LD) model, which considers a polygon as the collection of links between center and boundary points, is proposed to refine the detection...
In this paper, we present an approach for detecting, recognizing and tracking varying number of objects through both have similarity shape and colors. The objects tracking is the varying notes of Indonesian traditional instrument called “gambang”. Our method build an idea how to recognize well the notes and classify each objects in real time tracking. The houghlines standard method is used to search...
The paper proposes a method for grouping fragments of contours of objects in the images of microscopic parasitological examinations, characterized by high transparency of analyzed objects. The method is based on a graphical representation of the edges in vector form, allowing to substantially reduce the required calculations. The method uses simple vector operations to determine stroke parameters...
Sickle cell disease (SCD) is an abnormal red blood cell. Sickle-shaped red blood cells are not flexible and able to stick at vessel wall, causing a blockage of the blood flow. Most of the patients with SCD suffer from chronic ongoing pain as a result of organ damage in the spleen, lungs, liver, kidneys, joints, bones or skin. Image processing of Sobel Edge algorithm method was applied to detect the...
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...
People who died because of natural disaster, airplane crash or vehicle accident are hard to identified. There are many parameters that used by forensic doctor to identify victims corpes. Bone is one of parameters that used by doctors to identify victims age, it provide accurate result compared to other diagnoses. But, it takes a long time for the doctors to identify manually. From those problems,...
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