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"A text considering the various aspects of the application of image analysis to materials science problems, most especially engineering problems. A guide for applying image analysis to evaluate microstructural features in a variety of materials. Inlcudes bright, detailed color photographs and illustrations, as well as a wealth of black and white images. DLC: Metallography."

"For many years, observations of gingival color has been a popular area of dental research. However these methods are hard to analyze for any other than the different base conditions and colors. Thus we introduced an alternative method using image analysis to measure gingival color. For the research we performed a dental examination on 30 female students.The system is set up by aligning the camera area and facial area. The subject's chin is placed in a fixed chin cup mounted 30 cm from the camera lens. Each image is acquired such that comparisons may be made with the original bite holder as well as a standard color scale. After converted to computer we used a curves dialog box for color adjustment. The curves dialog box allows adjustment of the entire tonal range of an image.The results of the analysis of the free gingiva compared to the attached gingiva are that attached gingiva was more vivid red and yellow compared to the free gingival. In conclusion, the system described herein of digital capture and comparison of color images, analysis and separation in three channels of free and attached gingival surface images and matching with colorimetric scales may be useful for demonstrating the diversity of gingival color as well as analyses of gingival health."

"Brand dipahami sebagai nama dari suatu produk yang diciptakan oleh sebuah perusahaan. Namun, keberadaannya bukan sekedar itu, tapi juga memiliki citra yang berhubungan dengan pemikiran dan komunikasi pemasaran secara menyeluruh. Sehingga dalam menghadapi persaingan globalisasi, sebuah strategi dijalankan oleh perusahaan yaitu penyampaian citra brand-nya melalui arsitektur. Arsitektur dalam kasus ini, menjadi media periklanan sebuah Brand.Peran arsitektur ditekankan pada fungsinya sebagai media untuk penyampaian citra brand kepada masyarakat. Upaya ini dilakukan agar citra dari produk tersebut melekat di hati masyarakat. Untuk maksud tersebut perlu dilakukan kerjasama dengan arsitek yang memiliki ciri khusus pada desainnya. Karena dengan ciri khususnya, ia dianggap mampu menawarkan sebuah citra arsitektur yang turut memperkuat citra dari suatu brand di mata konsumen.Skripsi ini akan menjelaskan tentang apakah bangunan yang dihasilkan dapat mewakili citra dari sebuah brand atau justru didominasi gaya desain arsiteknya dalam mendesain. Topik ini terkait dengan pemahaman citra brand dan arsitektur yang diterjemahkan melalui beberapa proses pendekatan kreatif. Sehingga, pada akhirnya terbukti bahwa tidak sepenuhnya citra dari suatu brand terwakili pada bangunan. Namun, terdapat manfaat yang diperoleh dari perusahaan tersebut. Manfaat tersebut berupa penggunaan elemen bangunan yang dapat menjadi inspirasi dalam menghasilkan produk suatu brand.

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Brand is known as the name of a product that was created by a company. However, the existence is not only for that. Brand also has an image that is connected with idea and marketing communication comprehensively. So as in facing the globalization competition, a strategy was undertaken by the company to deliver brand image through architecture. Architecture, in this case, becomes an advertising media of the Brand.

The role of architecture is focused to deliver brand image to the people. This effort is carried out to make the product image adheres in the heart of people. An architect with distinct characters is then important in this regard. It is hoped that the architect could create an architecture image that supports the brand image in the eyes of the consumers.

This script will explain whether the building represent the image of a brand or the style of the architect. This topic relateds to the understanding of brand image and architecture that is transformed through several processes of creative approaches. So, it will be proved that not all of the brand image represented in the building. However, the analysis conclude that architecture also inspires the company to give more characters to the product."

"Citra buram atau blur dapat terjadi akibat gerakan objek, lensa kamera alat akuisisi yang kehilangan fokus, atau getaran saat akuisisi citra. Buram membuat citra menjadi kurang tajam dan tidak fokus pada beberapa bagian pada citra. Buram pada citra mengakibatkan terjadinya penurunan kualitas dan informasi citra sehingga menyebabkan penurunan performa aplikasi computer vision seperti deteksi objek, identifikasi objek, dan klasifikasi. Hal tersebut membuat banyak dikembangkan penelitian restorasi citra buram untuk mengembalikan kualitas citra yang terdegradasi, mulai dari penggunaan metode konvensional hingga metode berbasis pembelajaran mesin. Pada penelitian ini, penulis menggunakan model Swin Transformer UNet dalam merestorasi citra buram. Model ini berbasis Swin Transformer yang diintegrasikan dengan arsitektur UNet. Data citra yang digunakan dalam penelitian ini adalah dataset buram Dual-pixel Defocus Debluring(DPDD) dan Real Depth Of Field(RealDOF). Analisis dilakukan terhadap hasil restorasi citra model secara kuantitatif dan kualitatif. Selain itu, , penulis juga melaksanakan analisis cross dataset untuk melihat kemampuan generalisasi model. Hasil restorasi dibandingkan dengan hasil restorasi model Iterative Filter Adaptive Network(IFAN) yang dianggap sebagai state-of-the-art dalam merestorasi citra buram. Evaluasi hasil restorasi Swin Transformer UNet menunjukkan bahwa model tersebut berhasil mendeteksi daerah buram pada citra dengan baik namun hasil restorasi yang didapat belum sebaik hasil restorasi pada model IFAN dalam merestorasi citra buram pada dataset yang digunakan.

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Blurred images can occur from the motion of the photographed object, the camera lens of the acquisition tool losing focus, or vibration during image acquisition. Blurring makes the image less sharp and unfocused on some parts of the image. Blur in images results in a decrease in image quality and information, causing a decrease in the performance of computer vision tasks such as object detection, object identification, and classification. This has led to the development of many deblurring image restoration studies to restore the quality of degraded images or image restoration, ranging from the use of conventional methods to machine learning-based methods. In this research, the author uses the Swin Transformer UNet model to restore blurry images. This model is based on Swin Transformer integrated with UNet architecture. The images used in this research come from the Dual-pixel Defocus Debluring (DPDD) and Real Depth Of Field (RealDOF) blur image datasets. The image restoration results are analyzed quantitatively and qualitatively. Additionally, the author also conducts a cross-dataset analysis to see the generalization potential of the model. The restoration results were compared with the restoration results of the Iterative Filter Adaptive Network (IFAN) model which is considered as state-of-the-art in image deblurring. The evaluation of the Swin Transformer UNet restoration model shows that the model successfully detects blurred regions in the image well but the restoration results obtained are not as good as the restoration results in the IFAN model in restoring blurred images on the dataset used."

"Citra MODIS bersifat multispektral sehingga memiliki kapasitas data yang besar. Kesamaan antara kanal citra pada data MODIS disebut korelasi citra. Korelasi citra antar band dalam data MODIS dapat dijadikan acuan dalam melakukan kompresi secara spektral. Kompresi spektral dengan metode Linear Interband Prediction dilakukan berdasarkan korelasi citra sebagai acuan dalam menentukan citra referensi dan citra hasil prediksi. Kanal citra hasil kompresi dengan linear interband prediction memiliki kapasitas kecil dan kualitas yang hampir sama dengan aslinya. Hasil kompresi dengan Linear Interband Prediction dikompresi lagi secara spasial dengan metode Wavelet. Beberapa variasi Wavelet diterapkan, yakni Haar, Daubechies, Coiflet, Symlet dan Biorthogonal. Diharapkan rasio kompresi pada kompresi ini akan lebih besar, tetap menjaga kualitas citra yakni PSNR > 40dB, dan waktu komputasi yang cepat.

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MODIS is a multispectral satellite data, which has ultra high data size to store these data. It has to be compressed with spectrally and spatially. Image correlation used as a reference in spectral compression using Linear Interband Prediction method. Spectral compression results are compressed again using wavelet transform. Several family of Wavelet transform applied namely Haar, Daubhecies, Coiflet, Symlet, and Biorthogonal. Experimental results show in compression ratio while maintaining the image quality (PSNR > 40dB) and fast computation time are expected."

"This volume constitutes the refereed proceedings of the 15th International Workshop on Combinatorial Image Analysis, IWCIA 2012, held in Austin, TX, USA in November 2012. The 23 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics covered include digital geometry, combinatorics in digital spaces, digital curves and surfaces; digital topologyl grammars, transformation, applications; grammars and models in image analysis; picture transformations, morphologic operations, image segmentation; and discrete tomography, applications"