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Timestamp:
Feb 14, 2008, 1:33:09 PM (18 years ago)
Author:
Paul Price
Message:

Rewinding state of psModules/src/imcombine to the last merge (pap_merge_080122), so that ppStack on the mainline will build (I had branched ppStack but made changes to psModules/src/imcombine on the mainline; this check in is restoring to the state of the mainline while the development proceeds on branch pap_branch_080214)

File:
1 edited

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Removed
  • trunk/psModules/src/imcombine/pmStackReject.c

    r16476 r16479  
    1111#define PIXEL_LIST_BUFFER 100           // Number of pixels to add to list at a time
    1212
    13 psPixels *pmStackReject(const psPixels *in, const psRegion *valid, float threshold,
    14                         const psArray *subRegions, const psArray *kernels)
     13psPixels *pmStackReject(const psPixels *in, float threshold, const psArray *regions,
     14                        const psArray *solutions, const pmSubtractionKernels *kernels)
    1515{
    1616    PS_ASSERT_PIXELS_NON_NULL(in, NULL);
    1717    PS_ASSERT_FLOAT_LARGER_THAN_OR_EQUAL(threshold, 0.0, NULL);
    1818    PS_ASSERT_FLOAT_LESS_THAN_OR_EQUAL(threshold, 1.0, NULL);
    19     PS_ASSERT_ARRAY_NON_NULL(subRegions, NULL);
    20     PS_ASSERT_ARRAY_NON_NULL(kernels, NULL);
    21     PS_ASSERT_ARRAYS_SIZE_EQUAL(subRegions, kernels, NULL);
     19    PS_ASSERT_ARRAY_NON_NULL(regions, NULL);
     20    PS_ASSERT_ARRAY_NON_NULL(solutions, NULL);
     21    PS_ASSERT_ARRAYS_SIZE_EQUAL(regions, solutions, NULL);
     22    PS_ASSERT_PTR_NON_NULL(kernels, NULL);
    2223
    2324    // Get the original image size
    24     int numRegions = subRegions->n;        // Number of regions
     25    int numRegions = regions->n;        // Number of regions
    2526    int numCols = 0, numRows = 0;       // Size of original image
    2627    int minCols = INT_MAX, minRows = INT_MAX; // Minimum coordinate for image --- should be 0,0
    27     int size = 0;                       // Size of kernel
    2828    for (int i = 0; i < numRegions; i++) {
    29         psRegion *subRegion = subRegions->data[i]; // Region of interest
    30         if (subRegion->x0 < minCols) {
    31             minCols = subRegion->x0;
     29        psRegion *region = regions->data[i]; // Region of interest
     30        if (region->x0 < minCols) {
     31            minCols = region->x0;
    3232        }
    33         if (subRegion->y0 < minRows) {
    34             minRows = subRegion->y0;
     33        if (region->y0 < minRows) {
     34            minRows = region->y0;
    3535        }
    36         if (subRegion->x1 > numCols) {
    37             numCols = subRegion->x1;
     36        if (region->x1 > numCols) {
     37            numCols = region->x1;
    3838        }
    39         if (subRegion->y1 > numRows) {
    40             numRows = subRegion->y1;
    41         }
    42 
    43         pmSubtractionKernels *kernel = kernels->data[i]; // Kernel of interest
    44         if (size == 0) {
    45             size = kernel->size;
    46         } else if (kernel->size != size) {
    47             psError(PS_ERR_BAD_PARAMETER_VALUE, true, "Kernel sizes are not identical: %d vs %d",
    48                     size, kernel->size);
    49             return NULL;
     39        if (region->y1 > numRows) {
     40            numRows = region->y1;
    5041        }
    5142    }
    52 
    53     // Adjust the size for the size of the subimage
    54     if (valid) {
    55         minCols = PS_MAX(valid->x0, minCols);
    56         minRows = PS_MAX(valid->y0, minRows);
    57         numCols = PS_MIN(valid->x1, numCols);
    58         numRows = PS_MIN(valid->y1, numRows);
     43    if (minCols != 0 || minRows != 0) {
     44        psError(PS_ERR_BAD_PARAMETER_VALUE, true,
     45                "Some error with image regions --- minimum coordinate is not 0,0");
     46        return NULL;
    5947    }
    6048
    61     psImage *mask = psPixelsToMask(NULL, in, psRegionSet(minCols, numCols - 1, minRows, numRows - 1),
    62                                    0x01); // Mask
     49    psImage *mask = psPixelsToMask(NULL, in, psRegionSet(0, numCols, 0, numRows), 0x01); // Mask image
    6350    psImage *image = psImageCopy(NULL, mask, PS_TYPE_F32); // Floating-point version, so we can convolve
    6451    psFree(mask);
     
    6855    pmReadout *inRO = pmReadoutAlloc(NULL); // Readout with input image
    6956    inRO->image = image;
    70     inRO->col0 = minCols;
    71     inRO->row0 = minRows;
    7257    for (int i = 0; i < numRegions; i++) {
    73         psRegion *region = subRegions->data[i]; // Region of interest
    74         if (valid && (region->x0 > valid->x1 || region->x1 < valid->x0 ||
    75                       region->y0 > valid->y1 || region->y1 < valid->y0)) {
    76             // Region is outside of our sub-image
    77             continue;
    78         }
    79         pmSubtractionKernels *kernel = kernels->data[i]; // Kernel of interest
    80         if (!pmSubtractionConvolve(convRO, NULL, inRO, NULL, NULL, 0, region, kernel, true)) {
     58        psRegion *region = regions->data[i]; // Region of interest
     59        if (!pmSubtractionConvolve(convRO, NULL, inRO, NULL, NULL, 0, region, kernels, true)) {
    8160            psError(PS_ERR_UNKNOWN, false, "Unable to convolve mask image in region %d.", i);
    8261            psFree(convRO);
     
    8968
    9069        // Image of the kernel at the centre of the region
    91         float xNorm = (region->x0 + 0.5 * (region->x1 - region->x0) - kernel->numCols/2.0) /
    92             (float)kernel->numCols;
    93         float yNorm = (region->y0 + 0.5 * (region->y1 - region->y0) - kernel->numRows/2.0) /
    94             (float)kernel->numRows;
    95         psImage *image = pmSubtractionKernelImage(kernel, xNorm, yNorm, false);
    96         if (!image) {
     70        float xNorm = (region->x0 + 0.5 * (region->x1 - region->x0) - numCols/2.0) / (float)numCols;
     71        float yNorm = (region->y0 + 0.5 * (region->y1 - region->y0) - numRows/2.0) / (float)numRows;
     72        psImage *kernel = pmSubtractionKernelImage(kernels, xNorm, yNorm, false);
     73        if (!kernel) {
    9774            psError(PS_ERR_UNKNOWN, false, "Unable to generate kernel image.");
    9875            psFree(convRO);
     
    10178        }
    10279        float sum = 0.0;
    103         for (int y = 0; y < image->numRows; y++) {
    104             for (int x = 0; x < image->numCols; x++) {
    105                 sum += image->data.F32[y][x];
     80        for (int y = 0; y < kernel->numRows; y++) {
     81            for (int x = 0; x < kernel->numCols; x++) {
     82                sum += kernel->data.F32[y][x];
    10683            }
    10784        }
    108         psFree(image);
     85        psFree(kernel);
    10986
    110         // Range for normalisation
    111         int yMin = PS_MAX(minRows, region->y0) - inRO->row0;
    112         int yMax = PS_MIN(numRows - 1, region->y1) - inRO->row0;
    113         int xMin = PS_MAX(minCols, region->x0) - inRO->col0;
    114         int xMax = PS_MIN(numCols - 1, region->x1) - inRO->col0;
    115         psTrace("psModules.imcombine", 2, "Normalising convolved mask image by %f over %d:%d,%d:%d\n",
    116                 sum, xMin, xMax, yMin, yMax);
    117         for (int y = yMin; y <= yMax; y++) {
    118             for (int x = xMin; x <= xMax; x++) {
    119                 convRO->image->data.F32[y][x] /= sum;
    120             }
    121         }
     87        psImage *subConv = psImageSubset(convRO->image, *region); // Sub-image of convolved image
     88        psBinaryOp(subConv, subConv, "*", psScalarAlloc(1.0 / sum, PS_TYPE_F32));
    12289    }
    12390    psFree(inRO);
     
    12794    // Threshold the convolved image
    12895    psPixels *bad = psPixelsAllocEmpty(PIXEL_LIST_BUFFER); // List of pixels that should be masked
    129     for (int y = 0; y < convolved->numRows; y++) {
    130         for (int x = 0; x < convolved->numCols; x++) {
     96    for (int y = 0; y < numRows; y++) {
     97        for (int x = 0; x < numCols; x++) {
    13198            if (convolved->data.F32[y][x] > threshold) {
    13299                bad = psPixelsAdd(bad, PIXEL_LIST_BUFFER, x, y);
     
    136103    psFree(convolved);
    137104
    138     // Now, grow the mask to include everything that touches a bad pixel in the convolution
    139     mask = psPixelsToMask(NULL, bad, psRegionSet(0, numCols - 1, 0, numRows - 1), 0xff);
    140     assert(mask->numCols == numCols && mask->numRows == numRows);
     105    // Now, we want to convolve the original pixels properly
     106    mask = psPixelsToMask(NULL, bad, psRegionSet(0, numCols, 0, numRows), 0xff);
     107    int size = kernels->size;           // Size of kernels
    141108    for (int i = 0; i < bad->n; i++) {
    142109        int xPix = bad->data[i].x, yPix = bad->data[i].y; // Coordinates of interest
     
    148115        for (int y = yMin; y <= yMax; y++) {
    149116            for (int x = xMin; x <= xMax; x++) {
    150                 assert(x < mask->numCols && y < mask->numRows);
    151117                mask->data.PS_TYPE_MASK_DATA[y][x] = 0xff;
    152118            }
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