Deteksi Ketersediaan Slot Parkir Berbasis Pengolahan Citra Digital Menggunakan Metode Histogram of Oriented Gradients dan Support Vector Machine

Putra, Aditya Riska; Candradewi, Ika

doi:10.22146/ijeis.15411

Cited by 7 publications

(16 citation statements)

References 2 publications

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“…Salah satu solusi untuk memperkecil ukuran file citra medis adalah dengan melakukan kompresi citra. Terdapat dua tipe teknik yang dapat dilakukan dalam melakukan kompressi citra, yaitu teknik lossless compression dan teknik lossy compression [1]. Teknik lossless compression merupakan kompresi citra dimana hasil dekompresi dari citra yang terkompressi sama dengan citra aslinya, tidak ada informasi yang hilang.…”

Section: Pendahuluanunclassified

Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding

Anandita

Gunadi

Indrawan

2018

SINTECH

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Abstrak Kemajuan teknologi di bidang kedokteran membuat citra medis seperti sinar-x disimpan dalam bentuk file digital. File citra medis berukuran relatif besar sehingga perlu dilakukan kompresi citra. Teknik kompresi lossless merupakan kompresi citra dimana hasil dekompresi sama dengan aslinya atau tidak ada informasi yang hilang dalam proses kompresi. Algoritma yang ada pada teknik kompresi lossless adalah Run Length Encoding (RLE), Huffman, dan Lempel Ziv Welch (LZW 12,26%, 96,94ms, 0,79%, 160ms, 0,3 dan 58,955db. Untuk hasil dari penilaian subjektif, para pakar berpendapat bahwa semua citra masih dapat dianalisa dengan baik. ratio, time, MSE and PSNR respectively 86,92%,3,11ms, 0 and 0db. For Huffman the results can be 12. 26%, 96.94ms, 0, 160ms, 0.3 Kata Kunci: citra medis, kompresi lossless, huffman, run length encoding, Lempel ziv welch Abstract Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large, so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW

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Section: Pendahuluanunclassified

Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding

Anandita

Gunadi

Indrawan

2018

SINTECH

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“…It is used to remove objects touching the edge of image [8]. Component labelling is an image examination and classification of each pixel into a connected component according to the rules of connectivity [10].…”

Section: Nucleus Segmentationmentioning

confidence: 99%

Detection of acute lymphocyte leukemia using k-nearest neighbor algorithm based on shape and histogram features

Purwanti

Calista

2017

J. Phys.: Conf. Ser.

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Abstract. Leukemia is a type of cancer which is caused by malignant neoplasms in leukocyte cells. Leukemia disease which can cause death quickly enough for the sufferer is a type of acute lymphocyte leukemia (ALL). In this study, we propose automatic detection of lymphocyte leukemia through classification of lymphocyte cell images obtained from peripheral blood smear single cell. There are two main objectives in this study. The first is to extract featuring cells. The second objective is to classify the lymphocyte cells into two classes, namely normal and abnormal lymphocytes. In conducting this study, we use combination of shape feature and histogram feature, and the classification algorithm is knearest Neighbour with k variation is 1, 3, 5, 7, 9, 11, 13, and 15. The best level of accuracy, sensitivity, and specificity in this study are 90%, 90%, and 90%, and they were obtained from combined features of area-perimeter-mean-standard deviation with k=7.

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“…Setiap piksel dengan citra grayscale 256 gradasi warna diwakili oleh 1 byte. Sedangkan 1 piksel citra true color diwakili oleh 3 byte yang masing-masing byte merepresentasikan warna merah (Red), hijau (Green), biru (Blue) [6].…”

Section: Pendahuluanunclassified

Pengolahan Citra Negatif Klise Menjadi Citra True Color Dengan Matlab

Saputra

Triwibowo

Noeris

et al. 2017

JST

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Deteksi Ketersediaan Slot Parkir Berbasis Pengolahan Citra Digital Menggunakan Metode Histogram of Oriented Gradients dan Support Vector Machine

Abstract: Abstrak

Cited by 7 publications

References 2 publications

Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding

Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding

Detection of acute lymphocyte leukemia using k-nearest neighbor algorithm based on shape and histogram features

Pengolahan Citra Negatif Klise Menjadi Citra True Color Dengan Matlab

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