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Brain tumor segmentation is an important procedure for early diagnosis of brain tumor and planning of its treatment. However it is still a difficult task due to variations in size, shape and location of tumor. In this paper, we propose a novel brain tumor segmentation method using T2-weighted brain MR images by integrating symmetry property of brain with region growing approach. Bilateral symmetry...
A near-duplicate video clustering algorithm based on multiple complementary video signatures is proposed in this work. We use three kinds of frame descriptors: RGB histogram, color name histogram, and ternary pattern. Then, we convert each kind of frame descriptors for a video into a video signature based on the bag-of-visual-words scheme. Consequently, we have three signatures to represent the video...
The growth of audiovisual content, and in particular video requires the creation of robust tools for detecting illegal copies. This paper presents an effective approach to search and detect illegal copies in large video databases. This automatic detection operates two local descriptors and their paths through the video. This method allows to reduce the temporal redundancy intrinsically linked to the...
This paper proposes a method to detect optic disk (OD) automatically in fundus image of retina without using background mask and blood vessels. Based on the properties of OD, an idea of curve operator is presented here. This method has been implemented on three public databases and the promising results are obtained. The experimental results indicate that this proposed method of automatic OD detection...
Sky is one of the most significant subject matter commonly seen in outdoor photos. We propose a highly efficient sky detection algorithm. First, we detect a rough sky-ground boundary. Then, we calculate the parameters related to appearance of sky. Finally, we use these parameters to construct a hybrid probability model that indicates how possible a pixel belongs to sky. Moreover, an image processing...
Extracting objects from natural images has long been an active problem in image processing. Despite various attempts, it has not been completely solved up to date. Current state-of-the-art object proposal methods tend to extract a set of object segments from an image, and often these are consequential differences among these results for each image. Another type of methods strive to detect one object...
Extensive research has been conducted in an effort to evaluate methods and techniques for image segmentation. However, while most literature has focused on evaluating automatic and semi-automatic algorithms, works evaluating interactive segmentation algorithms are less numerous. Note that interactive segmentation can improve results by adding prior knowledge from users into the process. Although this...
We propose a fast embedded selection approach for color texture classification using Local Binary Pattern (LBP). This texture descriptor transforms an image by thresholding the neighborhood of each pixel and coding the result as a binary number. The selection approach presented in this paper is based on a degraded definition of the color LBPs. To compute these degraded LBPs, we take care of choosing...
By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints. In order to do so we picked up a problem of FAST and defined a condition for similar points. This...
A real-time feature point matching algorithm is introduced. It extracts vector-based ColourFAST feature strength and direction measures from the colour channels of the pixels in an image. This information is combined with the relative locations of the feature points to provide frame-by-frame scale and rotation invariant matching. The resulting algorithm is specifically designed for high throughput...
Data visualization is an alternative for representing information and helping people gain faster insights. However, the programming/creating of a visualization for large data sets is still a challenging task for users with low-level of software development knowledge. Our goal is to increase the productivity of experts who are familiar with the application domain. Therefore, we proposed an external...
Image blur is a common type of image distortion in our daily life. Though traditional image quality assessment (IQA) is increasingly drawing the attention of the research community, the uncertainness and uniqueness which exists in blur images bring unexpected difficulties. We present a simple yet effective automatic method on assessing global invariant blurred images. Different from the traditional...
The detection of malignant lesions in dermoscopic images by using automatic diagnostic tools can help in reducing mortality from melanoma. In this paper, we describe a fully-automatic algorithm for skin lesion segmentation in dermoscopic images. The proposed approach is highly accurate when dealing with benign lesions, while the detection accuracy significantly decreases when melanoma images are segmented...
Developers' daily work produces, transforms, and communicates cross-cutting information across applications, including IDEs, emails, Q&A sites, Twitter, and many others. However, these applications function independently of one another. Even though each application has their own effective information management mechanisms, cross-cutting information across separate applications creates a problem...
In a world where smart phones are becoming ubiquitous and are more powerful than ever, security is becoming an issue. Equipped with good cameras, smart phones are prime candidates for software designed to recognize objects and people around them. By recognizing biometric patterns such as the face, palm-prints or hand knuckles, smart phones can heighten security standards. Depending on the intended...
Sign Language is a natural language which deaf community uses for communication. Sign Language (SL) is a subset of gestures or signs made with fingers, hands, arms, eyes, and head, face etc. Each gesture in SL has a meaning assigned to it. Understanding SL is nothing but understanding the meaning of these gestures. There exists a problem in communication when a person who completely relies on this...
Infantile hemangiomas (IH) are benign vascular tumors, most of them appearing in the first weeks and developing until six months of age. The evaluation of the lesion size is usually made by the physician through manual measurement, which is inaccurate. This paper presents an algorithm for the automatic segmentation of the hemangioma region, relying on the Maximum a Posteriori (MAP) classification...
Manga is Japanese style comics which is one of the most popular publications in Japan. There are some e-book services for selling manga. Unfortunately, most of them handle manga only as the set of images. Some digital media use tags or text data for retrieval, where the tags and text data are produced by handmade input. Our final goal is developing a practical content-based manga retrieval system...
In this paper, we propose a novel feature descriptor for person re-identification without personal information. It is called Water-Drop Render Box (WDRB). The WDRB method is calculated by three steps with target color and its histogram: registration of target color, transformation of distance map, and enhancement of color using target histogram. In order to calculate WDRB, person's top-view images...
Image processing-based analysis of microscopic leukocyte helps in early detection of many diseases. It is a challenging issue to segment leukocytes under uneven imaging conditions since features of microscopic leukocyte images change in different labratories. This paper introduces an automatic robust method to segment leukocyte from blood microscopic images using intuitionistic fuzzy divergence based...
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