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Stereo matching is an active research area in computer vision for decades. This paper introduces a new disparity map estimation algorithm based on image segments. The reference image is segmented using hill-climbing algorithm. The initial disparity map is estimated Scale Invariant Feature Transform (SIFT) feature points matching between two stereo images in each segment by Sum of Absolute Difference...
Despite the increased agricultural fields and food production, advances in agricultural technology and know-how have also caused significant environmental change in many regions. Monitoring irrigated lands and updating information about the use of each agricultural parcel is very valuable for a variety of agricultural-related agencies for research purposes. Additionally, many applications such as...
Traumatic and degenerative shoulder pathologies of which treatment strategy and success depends on correct diagnosis are more commonly encountered at the present time. The aim of this study is to help clinicians by using computer based decision support systems to diagnose correctly the degenerative and traumatic conditions of shoulder from MR images which is not an easy task in practice. Image patches...
Reliable automatic ship detection in Synthetic Aperture Radar (SAR) imagery plays an important role in the surveillance of maritime activity. Apart from the well-known Spectral Residual (SR) and CFAR detector, there has emerged a novel method for SAR ship detection, based on the deep learning features. Within this paper, we present a framework of Sea-Land Segmentation-based Convolutional Neural Network...
Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation and meniscus tears were performed on 10 different knee MR images in the 3-D DESS standard obtained on the sagittal plane. The morphological operations used in image processing...
Recent progress in Thermal and infrared Non-Destructive Testing (IRNDT) in different fields have provided interesting defect detection solutions. Principal Component Analysis (PCA) based K-means clustering have been successfully introduced and used in many clustering applications. However, PCA suffers from being relatively more sensitive to the noise due to having a linear transformation. On the other...
Depth estimation and spatial awareness given a single monocular image is a challenging task for a computer as depth information is not retained when the 3D world is projected onto a 2D plane. Therefore, we must combine our prior knowledge with other monocular cues present in the image, such as occlusion, texture variations, and shadows to understand the depth of the image. In this paper, we present...
Advertisement plays an important role in the human society. Advertisement studies are related to many important issues in economics, social science, and marketing. In this paper, we propose a system to detect, segment, and classify advertisements from newspaper images and website snapshots, in order to facilitate advertisement studies. First, we detect advertisement candidates based on a connected...
Grabcut is an efficient image segmentation technique which facilitates easy user interaction by locating a rectangular bounding box to include the foreground objects. However, when the foreground objects exhibit similar colors to that of the background, it often fail to work to accurately classify the pixels within the interior region of the bonding box. In this paper, we propose an adaptive region...
For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better...
Presentation of a novel decision tree based method to improve the ability of hand written character recognition using mathematical morphology. For this paper, classification of hand written digits is done into two groups: one with blob and another without blob. This paper proposes the recognition of digits using certain features that can distinguish one digit from the other.
For modern websites currently available web page segmentation algorithms are not yet of practical use. This is what is observed from recent studies. In this paper, a Webpage Segmenter Using Block Function Tree has been described as a new approach for web page segmentation. It uses the fact that every block in the webpage plays a specific function that web designer designs the block for this function...
Recently, investigating boundary prior to aid other low-level image cues, have gained great attention in salient object detection. Although the salient regions are mostly located in the image center, the inverse might not necessarily be true. In addition, such kind of center-bias assumption is very simple and fragile, especially when salient regions often touch the image boundary or the images are...
In this work, we developed a novel method to diagnose traumatized kidney in the presence of laceration, contusion and active bleeding due to abdominal trauma. Our CAD system performs 94,44% of sensitivity at 0.13 false positives per dataset.
Road network in one of the key feature which is used in remote sensing. Many automated methods have been developed in past which are able to detect roads from high resolution satellite (HRS) images. In this study, a cognitive based method is used for detecting road network from HRS images. Cognitive task analysis (CTA) consists of five different stages which are integrated with the nearest neighbour...
In this paper we propose a new algorithm to rearrange handwriting for Thai online handwriting beautification. First, we segment the line into the right group (Line of tone level, Line of upper level, Line of body level and Line of lower level). Then we calculate the center point of each character by x average and y average value. After that we find the moving path that includes two perpendicular marks...
The paper proposes a framework for recognizing hand gesture which would serve not only as a way of communication between deaf and dumb and mute people, but also, as an instructor. Deaf and dumb individuals lack in proper communication with normal people and find it difficult to properly express themselves. Thus, they are subjected to face many issues in this regard. The sign language is very popular...
Today, multiple choice tests due to their benefits have become one of the most common methods to evaluate student's learning. In order to correct their answer sheets by the machines, very expensive equipment is necessary. Despite high correction accuracy of this method, because of some limitations, it's not suitable for public use such as schools. To overcome these limitations, attempts have been...
Due to the complex species, the changing dimensions and 2D nesting structure of mathematical formula symbols, the accuracy of symbol segmentation still cannot meet the actual needs. Projection is only suitable for simple mathematical formula without subscript and hierarchy. This paper presents a kind of improved algorithm based on the connected domain for symbol segmentation of mathematical formula...
Segmentation of manually written record photos into content material traces and words is a crucial undertaking for optical character acknowledgment. However, for the reason that elements of written by hand record are abnormal and various depending at the character, so far it is considered as a challenging issue. A good way to deal with the hassle, we formulate the word segmentation problem as a binary...
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