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Quartz wafer inevitably produces various physical defects in the production process. This paper focuses on the quartz wafer dirt defects, and proposes a way for image processing on the quartz wafer by using of computer vision library OpenCV. The proposed method is to find contours of the processed images to judge whether there is dirt or not. Experiments show that this method can well detect the dirt...
In this paper, a novel framework for implicit sentiment image tagging and retrieval is presented, based on the concept of attributed affect. The user's affective response is recorded and analyzed to provide an appropriate affective label, while eye gaze is monitored in order to identify a specific object depicted in the scene, which is attributed as the cause of the user's current state of core affect...
In image detection, it is often necessary to detect the sizes of foreign bodies in binary images. A new method to detect particle sizes of objects is proposed in this paper based on binary image analysis. A difference sum template is first used to extract edge of an object, a half-8-connected domain algorithm is then employed to obtain the coordinates set that corresponds to each object, and finally...
Image Segmentation is an important part of image processing. It is used in medical field to detect and to diagnose the death threatening diseases. Manual readings can be done to analyze the medical images. But still the result leads to misdiagnosis by manual segmentation and the accuracy is not so high. Many Computer Aided Detection systems arise to increase the accuracy and performance rate. In the...
This paper presents a type of special Dual-Status spring parameter inspection method which is in assembly line. In order to measure contour parameter, this paper designs the measurement course and illustrates method of image processing which carries on object location and contour parameter calculating of Dual-Status spring using Hough Transform. This method is proved to be useful and efficient in...
Automated lung cancer detection using computer aided diagnosis (CAD) is an important area in clinical applications. As the manual nodule detection is very time consuming and costly so computerized systems can be helpful for this purpose. In this paper, we propose a computerized system for lung nodule detection in CT scan images. The automated system consists of two stages i.e. lung segmentation and...
Medical image segmentation is a very important issue in medical imaging. This paper presents an automatic image segmentation method for tumour detection. A Computer-Aided Diagnostic (CAD) system for the diagnosis of benign and malignant from Computed Tomography (CT) images is presented. Proposed paper describes the development of segmentation methodology in the processing of images obtained using...
Extracting the actual boundary of a tooth is useful in order to obtain an accurate shape to design a false tooth. A tooth in a dental X-ray image, however, exhibits sharp corners at its root making the boundary extraction task difficult. In this paper, a new technique based on active contours is presented along with a novel modification to detect sharp corners of objects of interest. The proposed...
In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based on content where another drawback is that...
An automated system capable of recognizing responses for questionnaires and entering them into the database will be very useful in many subjects. Entering data manually is time consuming. Thus, the purpose of the research is to automate the manual data entry process. Through this research, a new clustering method to cluster printed and handwritten words, and character recognition method to identify...
Microarray technology, as a revolutionary tool for biomedical research, has been widely used to analyze the gene expression level. Image segmentation is an important step of microarray technology. In this paper, we have presented an improved SVM method, which combined the SVM with the canny algorithm, the morphological algorithm and the fixed circle method, to obtain a better segmentation result....
Ant colony optimization (ACO) is a bio-inspired technique formalized into a meta-heuristic for combinatorial optimization problems. In this work, the ACO-Otsu segmentation method, based on ACO algorithm and Otsu's method as a fitness function, is applied in classification and detection of breast cancer cells. Subsequently, this method is compared with the Otsu's standard method. The experiments show...
Color histograms are one of the earliest and best known image features used in Content-Based Image Retrieval (CBIR). There is a wealth of scientific work on this topic. However, different papers vary in the specific ways of determining histograms and distance between them. In this paper authors attempt to classify various types of histograms used in literature and compare them using contemporary datasets...
Liver cancer is one of the major death factors in the world. Transplantation and tumor resection are two main therapies in common clinical practice. Both tasks need image assisted planning and quantitative evaluations. An efficient and effective automatic liver segmentation is required for corresponding quantitative evaluations. Computed Tomography (CT) is highly accurate for liver cancer diagnosis...
An intutive segmentation technique to separate the microcalcification regions from the mammogram is given in this article. This mechanism, first enhances the input image using an image-dependent threshold value and binarizes it to obtain an enhanced image. Then the pixels constituting the edges of microcalcification regions are grown in the enhanced image, with respect to the neighbourhood pixels...
This paper proposes a novel method for the detection and segmentation of pectoral muscle in mammograms using fractal-based analysis. The region of pectoral muscles containing the brightest pixels has an adverse effect, during the detection of microcalcifications in a mammogram and hence detection and segmentation of pectoral muscle is deemed as an important preprocessing step. This proposed technique...
Segmentation is an important task for image analysis. Region based segmentation methods are best suited for images taken in noisy environment. Selecting a seed pixel is a challenging task in region growing methods. To overcome this drawback, Genetic based Fuzzy Seeded Region Growing Segmentation (GFSRGS) algorithm is proposed in this paper. The proposed algorithm optimizes the selection of multiple...
The objective of this work is to recognize 40 basic hand gestures. The main features used are centroid in the hand, presence of thumb and number of peaks in the hand gesture. The algorithm is based on the shape based features by keeping in the mind that shape of human hand is same for all human beings except in some situations. The hand gestures are captured and stored in the disk. The stored images...
Due to the ubiquity of web browsers and the dramatic development of dynamic web pages, web applications become the most popular computing model for providing services over the Internet. Unfortunately, this type of systems is vulnerable to the attacks issued by automated programs. CAPTCHA, a challenge-response test, is the most widely used mechanism to protect web application systems from attacks issued...
Iris segmentation is the principal task of Iris based biometric identification systems. Always the low contrast between pupil and iris always affects on accuracy of detecting boundary between them. In order to increasing the accuracy of boundary detecting, we propose a new technique using a difference function and a factor matrix. We also enhance the technique to detect the pupil and iris as ellipse...
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