Anny Yuniarti

Non-uniform decimation-free directional filter bank using histogram analysis for image enhancement

Directional Filter Banks (DFB) is a method for directional decomposition. It has been used in image enhancement procedure that involved image with many edges. The design of Decimation-Free Directional Filter Bank (DDFB) is made to give a better result for enhancement. However, the design cannot give an adaptive directional decomposition based on input image. In this paper, we proposed a Non-Uniform Decimation-Free Directional Filter Bank (NUDDFB) using Histogram Analysis for Image Enhancement. NUDDFB can build an adaptive directional filter depends on the input image. The result shows that NUDDFB can separate each directional image better than DDFB. The use of this method in image enhancement helps to retain the image from over enhancement.

Augmented reality application for cockroach phobia therapy using everyday objects as marker substitute

Augmented reality (AR) technology is useful for treating several psychological problems, including phobias such as fear of flying, agoraphobia, claustrophobia, and phobia to insects and small animals. However, the currently existing applications for therapy of cockroach phobia that uses AR technology are still very dependent towards the presence of markers, which might lessen the feeling of being in an actual scenario from everyday lives. In this paper, we created a system that is able to use everyday objects as a replacement for markers. There are five main processes: getting the live streaming feed from camera, preprocessing in which adaptive threshold was used as the image processing method, extracting the center point of the objects, tracking the objects, and lastly, instantiating cockroaches randomly underneath the objects. The evaluation in this paper includes eight participants that are carefully selected based on their Fear of Spiders Questionnaire (FSQ) score that is translated into Indonesian and modified to accommodate cockroaches instead of spiders. The system is able to induce a small to medium level of anxiety on participants that are measured using Standard Unit of Discomfort scale (SUDs). Meanwhile, this application has a high score for the presence and reality judgment that are measured using Slater-Usoh-Steed Questionnaire (SUS).

Image thresholding based on index of fuzziness and fuzzy similarity measure

In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found by using a fuzzy similarity measure. No prior knowledge of the image is required. Experiments on practical images illustrate the effectiveness of the proposed method.

Spline and color representation for batik design modification

A computer based system for batik design modification using spline and color representation is proposed to create a new batik design from the existing batik design image. The system can be used to support artisan/designer works for drawing motifs and applying color composition, so the design can be seen visually on the screen without having to make a real design. To evaluate the performance of the system, five batik images are used as the input of the system. The experimental results show that the system generates the similar batik design using spline and color representation from the existing batik design image and the user can edit the spline and its color to create new batik design.

Classification and numbering on posterior dental radiography using support vector machine with mesiodistal neck detection

Dental radiography meets challenge to classify the dents into the proper class which useful for forensic and biomedical application. This paper proposed a novel method of classification and numbering on posterior dental radiography using support vector machine (SVM) with mesiodistal neck detection. In this method we developed SVM using a nouvelle feature with mesiodistal neck teeth. This feature was used to solve the problem in the dental image which suffered with completeness of whole part of teeth (crown-root). Preprocessing for enhancements included morphological operation, contrast adaptive, and tresholding. Every tooth has been assigned according to universal dental numbering and classified as their sequence order. Our system achieved classification precision of 90 %. This approach is robust and optimal for solving the problem of dental classification.

Detection of Branching in Trabecular Bone Using Multiscale COSFIRE Filter for Osteoporosis Identification

Mandibular bone is among the bones which mineral density is reduced due to osteoporosis. Hence, dental panoramic gradiographs have become an alternative solution to identify osteoporosis. Previous study has shown that the number of branching differs between normal people and patients with osteoporosis. Another study has proposed an algorithm called COSFIRE which is able to detect branches in retinal vessel images. However, branch structures in trabecular bone differ from that in retinal vessel images. For that reason, the COSFIRE method alone is considered unable to detect such structures. In this study, we propose multiscale mechanism to detect different size of trabecular branches. Morphological structures in the trabecular bone is first enhanced using the line operator method. Then the branches are detected using COSFIRE. Experiment of the branching detection conducted to 20 images yields an accuracy of 95.25% whereas the experiment of the classification step gives the sensitivity, specificity, and accuracy of 0.95122, 0.26315, and 0.55102, respectively.

Rancang Bangun Aplikasi Faceshift Menggunakan Motion Capture pada Wajah dengan Teknologi Intel Realsense

Perkembangan olah citra digital telah mengalami peningkatan yang sangat signifikan pada awal tahun 2010. Sebelumnya, citra digital khususnya animasi komputer pertama kali bersifat sederhana. Dengan majunya teknologi komputer, Citra digital telah dapat membuat film animasi dengan kualitas gambar yang mendekati nyata. Terdapat 2 cara membuat ekspresi wajah pada film animasi yaitu dengan manual dan menggunakan set kamera animator dengan biaya terbilang mahal. Intel Realsense 3D Camera adalah teknologi kamera yang mampu merespon tangan, lengan, dan gerakan kepala serta ekspresi wajah. Kemampuan kamera Intel Realsense ini dapat mendeteksi kedalaman objek secara 3 Dimensi. Pada Tugas akhir ini, Penulis membuat aplikasi faceshift dengan menggunakan teknologi Intel Realsense. Aplikasi ini mendeteksi wajah menambahkan poin landmark pada wajah pengguna kemudian data wajah disimpan dan kemudian digunakan untuk menggerakan wajah karakter. Selain itu tugas akhir ini juga dapat mendeteksi dan menampilkan ekspresi dari pengguna melalui pergerakan emosi pada wajah. Dari hasil ujicoba terhadap berberapa koresponden pada aplikasi ini, aplikasi yang dibangun berhasil memberikan pengalaman baru kepada pengguna. Aplikasi ini dapat mendeteksi dan menggerakan karakter sesuai dengan pergerakan pengguna. Selain itu aplikasi ini juga sudah dapat mendeteksi emosi dari pengguna walaupun akurasi masih harus ditingkatkan lagi pada hardware kamera intel realsense. Dengan dikembangkan aplikasi ini, diharapkan bisa memudahkan pengguna untuk membuat ekspresi wajah karakter yang lebih baik dan lebih natural.

Ensemble Method for Indonesian Twitter Hate Speech Detection

Received Dec 04, 2017 Revised Jan 11, 2018 Accepted Apr 15, 2018 Wireless Body Area Networks (WBANs) are fundamental technology in health care that permits the information of a patient’s essential body parameters to be gathered by the sensors. However, the safety and concealment defense of the gathered information is a key uncertain problem. A Hybrid Key Management (HKM) scheme [13] is worked based on Public Key Cryptography (PKC)-authentication scheme. This scheme uses a oneway hash function to construct a Merkle Tree. The PKC method increase the computational complexity and lacking scalability. Additionally, it increases expensive computation, communication costs and delay. To overcome this problem, Robust Security for Protected Health Information by ECC with signature Hash Function in WBAN (RSP) is proposed. The system employs hash-chain based key signature technique to achieve efficient, secure transmission from sensor to user in WBAN. Moreover, Elliptical Curve Cryptography algorithm is used to verifies the authenticate sensor. In addition, it describes the experimental results of the proposed system demonstrate the efficient data communication in a network.A Weblogs contains the history of User Navigation Pattern while user accessing the websites. The user navigation pattern can be analyzed based on the previous user navigation that is stored in weblog. The weblog comprises of various entries like IP address, status code and number of bytes transferred, categories and time stamp. The user interest can be classified based on categories and attributes and it is helpful in identifying user behavior. The aim of the research is to identifying the interested user behavior and not interested user behavior based on classification. The process of identifying user interest, it consists of Modified Span Algorithm and Personalization Algorithm based on the classification algorithm user prediction can be analyzed. The research work explores to analyze user prediction behavior based on user personalization that is captured from weblogs.Wireless Body Area Networks (WBANs) are fundamental technology in health care that permits the information of a patient’s essential body parameters to be gathered by the sensors. However, the safety and concealment defense of the gathered information is a key uncertain problem. A Hybrid Key Management (HKM) scheme [13] is worked based on Public Key Cryptography (PKC)-authentication scheme. This scheme uses a oneway hash function to construct a Merkle Tree. The PKC method increase the computational complexity and lacking scalability. Additionally, it increases expensive computation, communication costs and delay. To overcome this problem, Robust Security for Protected Health Information by ECC with signature Hash Function in WBAN (RSP) is proposed. The system employs hash-chain based key signature technique to achieve efficient, secure transmission from sensor to user in WBAN. Moreover, Elliptical Curve Cryptography algorithm is used to verifies the authenticate sensor. In addition, it describes the experimental results of the proposed system demonstrate the efficient data communication in a network.

Virtual reality navigation system in virtual mall environment

The mall is a shopping center that contains a variety of retail stores and typically also restaurants or movie theater. Therefore, the building has large size and sometimes made people get confused to find a place or destination at the mall. The existing solution to this problem is to provide navigation in the mall such as directions, information boards, information center, or security guard who can help to guide people to their destination. This paper proposes the implementation of Virtual Reality (VR) to be one of the solutions. This research aims to provide an innovative application that can navigate people trying to find a certain place at the mall. The technology of VR is used to model the Virtual Environment of Mall. Google Cardboard is used as the additional device in VR. The navigation feature is implemented using NavMesh library. This library can be used to find the shortest path to reach the destination. The result of this research shows that Google Cardboard and NavMesh can be implemented to develop an innovative technology in the virtual navigation system and it can also give another experience for the user. This research also implements the feature to reach the destination quickly by using the shortest path algorithm.

Resize My Image: A mobile app for interactive image resizing using multi operator and interactive genetic algorithm

In this research a new android app for smartphones to smartly resize images is presented. The smart image resize method was based on a dynamic programming approach that used image edge tangent flow as the energy function to be minimized, known as flow-guided seam carving method. However, a simple but useful interface is needed in a mobile app. Therefore, we developed an interactive approach to image resizing by applying an interactive genetic algorithm. After installing the developed app on the smartphone, we asked test participants to rate the results of this approach. The usability testing results showed that the average score of this approach is higher than that using a single operator.